Abstract
This paper presents the design, modeling, analysis, fabrication, and experimental characterization of the Soft Robotic Ankle-Foot Orthosis (SR-AFO), which is a wearable soft robot designed for ankle assistance, and a pilot human study of its use. Using two novel pneumatically-powered soft actuators, the SR-AFO is designed to assist the ankle in multiple degrees-of-freedom during standing and walking tasks. The flat fabric pneumatic artificial muscle (ff-PAM) contracts upon pressurization and assists ankle plantarflexion in the sagittal plane. The Multi-material Actuator for Variable Stiffness (MAVS) aids in supporting ankle inversion/eversion in the frontal plane. Analytical models of the ff-PAM and MAVS were created to understand how the changing of the design parameters affects tensile force generation and stiffness support, respectively. The models were validated by both finite element analysis and experimental characterization using a universal testing machine. A set of human experiments was performed with able-bodied participants to evaluate: 1) lateral ankle support during quiet standing, 2) lateral ankle support during walking over compliant surfaces, and 3) plantarflexion assistance during push-off in treadmill walking. Group results revealed increased lateral ankle stiffness during quiet standing with the MAVS active, reduced lateral ankle deflection while walking over compliant surfaces with the MAVS active, and reduced muscle effort in ankle platarflexors during 40-60% of the gait cycle with the dual ff-PAM active. The SR-AFO shows promising results in providing lateral ankle support and plantarflexion assistance with able-bodied participants, which suggests a potential to help restore the gait of impaired users in future trials.
1. Introduction
Human locomotion is one of the most critical physical tasks for an individual to maintain independence and achieve the desired activities of daily living (Spector & Fleishman, 1998). The human ankle joint is a critical point of rotation and weight translations, and is one of the major contributing factors to assist in forward locomotion and postural stabilization (Sawicki & Ferris, 2009; Mueller et al., 1995). Two major contributors to successful forward locomotion are plantarflexion and medial/lateral ankle stability for balance throughout walking. Ankle plantarflexion is responsible for 45% of the power behind moving the body forward during walking (Winter, 1983; Farris & Sawicki, 2011). Push-off is the stage of human gait, which is a major contributor to forward propulsion during walking, and occurs at roughly between 45% and 60% of the gait cycle (Winter, 1983; Winter & Sienko, 1988).
There are many factors that can impact an individual’s ability to achieve natural and comfortable mobility. Among the most common factors are injuries from trips or falls, neuromuscular conditions, and neurological disorders, and many of those with a history of ankle injury (or injuries) face an increased risk of reoccurring injuries (Yeung et al., 1994). Chronic ankle instability is a common ankle impairment that affects the medial/lateral ankle stability and increases the risk of future ankle sprains and injuries (Garrick, 1977; Venesky et al., 2006). Ankle sprains usually occur when there is a sudden instance of inversion due to unanticipated lateral ankle buckling (Garrick, 1977; Venesky et al., 2006).
Ankle-foot orthoses (AFOs) are the most commonly-used orthoses available to patients, accounting for as many as 26% of all orthoses provided to patients in the United States (Lusardi et al., 2013; Whiteside et al., 2007). For example, AFOs are commonly prescribed for recovering survivors with symptoms of hemiparesis, which affects around 80% of stroke survivors (Lusardi et al., 2013; Sankaranarayan et al., 2016; Cogollor et al., 2018). While there are many versions of AFOs available on the market, they are largely made out of rigid materials like plastics and carbon fiber (Lusardi et al., 2013; Whiteside et al., 2007).
With the rise in popularity of the wearable robotic industry, new robotic devices are being created to replace existing assistive and rehabilitative technologies (Shi et al., 2019; Kwon et al., 2019; Chung et al., 2018; Park et al., 2014; S. Lee et al., 2016; Ren et al., 2017). The field of assistive soft robotics has gained popularity within the wearable robotics community (Bao et al., 2018; Thalman & Artemiadis, 2020). Previous works have made significant advancements to substantiate the recent popularity of the use of soft, compliant materials to create wearable robots that are lightweight, comfortable, and effective in providing assistance to the user (Malcolm et al., 2017; Kwon et al., 2019; Chung et al., 2018; Thalman et al., 2019). Integrating textiles and fabrics into a wearable robot can help eliminate some of the drawbacks seen with rigid exoskeletons such as size, weight, and cost (Malcolm et al., 2017; Park et al., 2014; Asbeck et al., 2013). This is especially critical when assisting a joint such as the ankle, where gait dynamics can be heavily affected by even slight changes to external conditions (Browning et al., 2007).
This paper presents the Soft Robotic Ankle Foot Orthosis (SR-AFO) exosuit, which integrates soft, pneumatic actuators made of garment-like fabrics. The SR-AFO utilizes principles of soft robotics to help alleviate troublesome attributes of other traditional AFO solutions. It integrates two novel soft actuators and operates in multiple degrees-of-freedom (DoFs) of the ankle, providing both assistance in ankle plantarflexion in the sagittal plane and medial/lateral ankle support in the frontal plane (Fig. 1). The SR-AFO is designed to provide active assistance at the precise intervals where it is needed without impacting the comfort or range of motion of the wearer. This paper presents the design, modeling, analysis, fabrication, and experimental characterization of the two soft actuators for the SR-AFO, and a pilot human study of its use.
The goal and motivation of designing the SR-AFO was to create a solution that would provide both the lightweight wearable orthoses such as the rigid ankle braces, with the dynamic support of a robotic ankle orthosis. The focus and novelty of this work is in the design of a device that could provide dynamic support and assistance to the user without adding excessive mass to the ankle during lower extremity tasks, with an easy don/doff process, which is unlike anything else currently used in ankle-targeted or gait rehabilitation.
2. Design, Modeling, Analysis, Characterization, and Fabrication of the SR-AFO
2.1. Actuator Concept and Design
The SR-AFO is a soft, wearable ankle robot that is made entirely of fabric materials such as Neoprene, Spandex, and Nylon. The combination of these materials forms a pattern that creates the main body of the SR-AFO, which can be worn over the user’s athletic shoe and can accommodate most adult shoe sizes. The SR-AFO comprises of two sets of soft actuators, i.e., ff-PAM and MAVS actuators, which serve different primary functions in the overall performance of the soft exosuit. Upon pressurization, the ff-PAM contracts and increases tensile force (Fig. 2, (a, c)), while the MAVS increases the lateral stiffness (Fig. 2, (b, d)).
2.2. Analytical Modeling
The analytical models for the ff-PAM and MAVS actuators were created using the geometric programming of materials, which has been shown to be a useful approach for modeling textile-based soft pneumatic actuators (Thalman et al., 2019; Kwon et al., 2020; Niiyama et al., 2015). The assumptions used in modeling textile-based actuators include: 1) soft materials are inextensible, 2) soft materials assume common geometric shapes when inflated, and 3) fully inflated soft segments assume a ‘rigid’ behavior at maximum pressure.
2.2.1. Modeling of Flat Fabric PAM (ff-PAM)
The first actuator introduced was the flat fabric pneumatic artificial muscle (ff-PAM). The model used to represent the ff-PAM is governed by the following set of equations (Fig. 3) (Niiyama et al., 2015):
(1) |
(2) |
where F is the tensile force, Li is the original length of each chamber, L(θ) is the length of each chamber after inflation, Lϵ is the contraction ratio of the actuator, P is the supply pressure, and w is the width of the actuator. Estimation of force output is based on the laws of conservation of energy. The relation between the supplied pressure and resultant force output can be expressed as:
(3) |
where V is the internal volume of the pneumatic chamber. Both V and L can be expressed as a function of θ and the expression can be written as:
(4) |
In order to determine the contraction in terms of strain (Lϵ), a corrected version of Lϵ is used (LϵC):
(5) |
where d is a correction coefficient as described in (Niiyama et al., 2015) to account for some of the flexibility and compliance of the soft, thin textiles used to fabricate the actuator, which can affect the resulting strain. The length of the entire actuator, including all chambers of the actuator, with all chambers of the actuator was later optimized via finite element analysis (FEA) using the following conditions:
(6) |
where Ly is the total length of the ff-PAM, s is the distance between each chamber created by the heat seal, and N is the total number of chambers.
The number of chambers used in the ff-PAM was set to 8 (N = 8) considering overall length, contraction performance, and robustness of the actuator. In addition, while the dual actuator configuration increased the total volume of the active ff-PAM setup compared to the single actuator, the increase in tensile force output was considered valuable for the application of plantarflexion and push-off assistance, and the SR-AFO exosuit used the dual ff-PAM configuration.
The force vs. strain curves for the dual ff-PAM design with N = 8 is obtained using the analytical model at 4 pressure levels (50, 100, 150, and 200 kPa) (Fig. 3e), which show that the tensile force of the ff-PAM increases with increasing P. The dual ff-PAM actuators were predicted to reach 307 N and 348.3 N at the theoretical point LϵC = 0 at 150 and 200 kPa, respectively.
2.2.2. Modeling of Multi-Material Actuator for Variable Stiffness (MAVS)
The second actuator introduced in the SR-AFO was the multi-material actuator for variable stiffness (MAVS), which integrated rigid components into a soft, fabric-based actuator. Inspiration for the integration of multi-segment, multi-material for the MAVS actuator was drawn from several previous works, such as the sliding layer laminate actuator design presented by Jiang and Gravish (Jiang & Gravish, 2018). This design focused on a three-layer laminate actuator that varies stiffness based upon the ratio of the size of each exposed material when subjected to transverse load. The stiffest condition was achieved when there was a total misalignment of the layers, where the exposed soft material was minimized. Similarly, the smallest stiffness was achieved when the layers were stacked in vertical layers with no human error in fabrication misalignment, where the exposed soft material was maximized. The MAVS design was implemented with these physical characteristic behaviors in mind. The rigid retainers embedded in fabric were placed on the outside of the layer of inflatable actuator. The rigid pieces were aligned on the top and bottom of the actuator. A single segment of the MAVS weighed between 31.2 - 89.3 g, depending on the configuration used.
The rigid components of the MAVS actuator were small, thin pieces of custom 3D printed Polylactic Acid (PLA), which were embedded into the soft actuator fabric layers during the sewing stages of the fabrication process. The rigid materials limited vertical expansion of the actuator when pressurized and restricted physical internal volume by limiting the cross-sectional area of the MAVS. The rigid retainers were placed along the length of the actuator and alternated with sections of exposed fabric, providing the MAVS with varying levels of compliance. By alternating segments of soft and rigid-bound cross sections, the MAVS obtained varying levels of lateral stiffness that can be adjusted during fabrication and pressurization (Fig. 4a).
The rigid retainers were tested in three sizes, labeled A1 - A3 for each size of rigid retainer and soft actuator gaps. In this study, only the type A was used. The size of rigid retainer was Lr = 1 cm. The gap length was denoted by the numerical value assigned, with A1 = 0.5 cm, A2 = 1 cm, A1 = 1.5 cm. Based on previous analysis presented in (Thalman, Hertzell, Debeurre, & Lee, 2020), the MAVS-A2 was selected for the SR-AFO. The selected ratio between rigid and soft materials allowed for high stiffness for medial/lateral ankle support when pressurized (inflated) without becoming overly stiff when inactive (deflated).
The MAVS actuator was modeled as a cantilever beam, fixed and pinned in place across one half of the actuator, with the other half free to move. The cross-section of each segment of the MAVS was accounted for in the final equation for deflection of the free end. The total deflection Vt (Lt) of the MAVS with N segments of alternating materials was calculated by:
(7) |
These material types were denoted by the variables VPLA and VNylon, which indicate the deflections using the material properties of PLA and Nylon, respectively. Segments for PLA (E1I1) and Nylon (E2I2) respond differently when subjected to external loads, due to differences in material properties. These were accounted for individually for both VPLA and VNylon using the Young’s elastic modulus (E) and moment of inertia (I) of each segment. Each of the rigid (PLA) and soft (Nylon) segments was modeled as a simply supported cantilever beam with a single point load at the free end and using Timoshenko’s theory (Wielgosz & Thomas, 2002; Thomas & VANa, 2019; Wielgosz et al., 2008). Applying this theory, the deflection of each segment (V(x)) can be modeled as:
(8) |
where Lr,g is the length of each segment (Lr for the rigid segment and Lg for the soft segment), which can be calculated at a length x away from the fixed end x = 0. The beam was subject to an internal pressure P and a transverse force F at the free end, where x = Lt. The second moment of inertia, Io, was determined by the shape of the cross-sectional area and the axis about which the actuator was being deflected. The shear coefficient was represented by kGSo, where So is the cross-sectional area, G is the shear modulus of the material, and k was determined by the cross-sectional shape and Cowper’s formulation (Cowper, 1966).
The maximum deflection was calculated with x = Lt, (Wielgosz & Thomas, 2002), which reduced Eq. (8) to:
(9) |
where b is the base length of the cross-sectional area (which was kept constant at 4 cm), h is the height of the actuator when inflated, and Lt is the total length of the MAVS actuator. The length Lt of the actuator was calculated as:
(10) |
where Ls is the length added by the seam, Lr is the length of the rigid piece, and Lg is the length of the gap between rigid pieces where the soft actuator was exposed (Fig. 4a1). The number of exposed sections of the soft actuator was represented by N to account for varying lengths of the MAVS. The effects of varying N are shown in Fig. 4b, where applied transverse load vs. tip deflection are shown for varying N conditions.
2.3. Finite Element Analysis
In order to investigate the behavior of each actuator prior to fabrication, simulations were performed using FEA. The analysis predicted the accuracy of the analytical models, validated the behavior of the soft and integrated materials, and optimized the geometric parameters of the design. The FEA simulation was performed using a FEA software (ABAQUS, Dassault Systems, Vlizy-Villacoublay, France) in a dynamic explicit environment. The thermoplastic polyurethane (TPU) coated Nylon was simulated using the Young’s Modulus of E = 498.9 MPa, the Poisson’s ratio of v = 0.35, and the material thickness of 0.15 mm. These properties were found in previous studies using the same materials (Thalman et al., 2019), utilizing methods from previous works implementing and characterizing TPU coated Nylon (Adams et al., 2018).
For each actuator design, the air chambers were modeled by creating a 2D homogeneous thin shell with the net shape of a single layer of the TPU coated Nylon. Partitions were created where the heat seals were placed. Two layers of the thin shells were stacked in an assembly, and the innermost facing surfaces of each seam partition were bound using a tie constraint. The innermost facing surfaces of the air chambers were designated as a load-bearing face, and a uniform pressure load was applied outward from the initial plane of the fabric in both directions to simulate pressure. This was done for both the ff-PAM and MAVS actuators, which are described in more detail in the following sections.
Initial simulation setup was critical in ensuring that excessive node or element rotations did not occur through the simulation. For simple shapes, basic translational constraints along the fixed edges proved sufficient to keep the thin shell walls from experiencing high levels of nodal rotation or distortion. For more complicated layers such as the MAVS actuators, layers had to be positioned with small gaps between fabric and fixed rigid components to allow proper inflation of each chamber before removing any constraint on rigid parts, to allow for a more natural interaction between the compliant pressurized surface and the solid rigid surface.
2.3.1. FEA Analysis of ff-PAM
A FEA model was created for the ff-PAM using two layers of TPU coated Nylon stacked and tied at the seams. To investigate the force and pressure relationship at a fixed displacement (0 mm), the simulation was performed when actuator vertical displacement at each end was held constant and the pressure was varied. The constant displacement condition was intended to estimate the theoretical maximum force output of the actuators, which occurs when displacement of the actuator was fixed at its original length (Ching-Ping & Hannaford, 1996; Doumit et al., 2009).
Pressure was incremented with each simulation until the model stabilized and a final maximum force value was obtained. One end was fixed in all directions while the other was fixed vertically and used to evaluate the reaction forces across its surface to estimate the force. The forces in the vertical direction were summed along the width of the top of the actuator to estimate the tensile force generated from the actuator. This was done for varying pressure levels (0 - 200 kPa), as well as for the single and dual ff-PAM actuators (Fig. 5a). For the same level of pressure, the dual actuators always exhibited a higher output force than the single actuator (Fig. 5b). At the maximum pressure level tested (i.e., 200 kPa), the peak force was 180.2 N and 373.3 N for the single and dual actuators, respectively. Simulation results of maximum force obtainable at each pressure level can be used to estimate the behavior of the actuator prior to fabrication.
2.3.2. FEA Analysis of MAVS
The MAVS was modeled using a combination of simulated materials for both the soft actuator and rigid retainers. Thin 2D homogeneous shells were used in the shape of a hollow rectangle to create the pneumatic chamber, with the length and width of the rectangle the same dimensions as that of the MAVS width and length. The rigid retainers were modeled using solid 3D homogeneous extrusions, and assigned a material property for polylactic acid (PLA) 3D printed material, which was modeled using material properties with the Young’s Modulus of 3600 MPa and the Poisson’s ratio of 0.3 as used in previous works (Pepelnjak et al., 2020; Tehrani et al., 2014). More thorough explanation of MAVS FEA modeling can be found in previous studies (Thalman, Hertzell, Debeurre, & Lee, 2020).
The pneumatic pouch was sealed by tying the edges of the thin shells around the perimeter of the rectangular parts. The rigid pieces were placed on the top and bottom faces of the rectangular shell, parallel to the face and spaced according to which MAVS variation was simulated. An additional 2D homogeneous shell of Nylon fabric was placed to encase the stacked soft actuator and rigid retainers. The outward faces of the rigid pieces were tied to the outer shell and a global interaction property for surface-surface contact was applied to the assembly. A solid 3D homogeneous clamp was created with the PLA material property and fixed to hold the actuator at a fixed point for the cantilever beam example modeled in the previous section. The major benefit of being able to model the MAVS was to show the interaction between multiple layers of several material types, thicknesses, and properties. This allowed the internal chambers of the MAVS to be observed and studied as done in other works with variable stiffness actuators (Sun et al., 2020).
Two loads were applied to the model: (1) a uniform pressure load to the internal faces of the thin shells of the actuator, and (2) a transverse load applied at a fixed point at the end of the actuator. A total of three steps were run for the simulation: (1) pressurization, (2) stabilization, and (3) point loading as depicted in Fig. 6a. The deflection of the MAVS was measured by fixing one half of the MAVS and applying a perpendicular force to the free end. Transverse loads of 5, 10, 15, and 20 N were applied at a fixed point on the free end of the actuator, which was inflated to 100 kPa. This was done for the three highest performing MAVS designs (A1 – A3) predicted by the analytical model. The deflection at the end of the actuator was measured along the direction of the transverse load. Simulation results showed that stiffness of the MAVS decreased as Lg increased (Fig. 6a).
Since the MAVS-A2 was selected as the primary MAVS actuator for the SR-AFO, the MAVS-A2 design was evaluated in further detail using FEA to analyze the behavior of the actuator at varying lengths and numbers of segments of alternating materials N. The MAVS-A2 actuator was modeled in the FEA simulation as a cantilever beam as done in the previous simulation. One end of the MAVS was constrained between two infinitely stiff, fixed blocks which held the end in place. The other end of the MAVS was subjected to a transverse point load at the end of the actuator perpendicular to the top surface as shown in Step 3 of Fig. 6a. The tip deflection of the MAVS was recorded for loads of 5, 10, 15, and 20 N. The value of N was also increased after each set of point loads was applied from N = 1 to 5 with the internal pressure of the MAVS fixed at a constant 50 kPa for each simulation (Fig. 6b).
Simulation results showed the least deflection with N = 1 across all loading conditions, likely due to the small net size of the actuator. However, as N increased more than one, the degree of deflection was comparable for each loading condition. This result helps to validate that, even at longer lengths, the MAVS-A2 actuator can maintain relatively constant bending stiffness and resist deflection against medial and lateral loads. This is a critical point as a single MAVS-A2 chamber is not long enough to cross the length of the human ankle, whereas the MAVS-A2 at N = 5 is able to cross the ankle joint effectively.
2.4. Actuator Characterization
A universal testing machine (UTM) (Instron 5565, Instron Corp., High Wycombe, United Kingdom) was used to experimentally characterize both the ff-PAM and MAVS actuators of the SR-AFO exosuit and evaluate their performance.
2.4.1. Characterization of ff-PAM
Three different types of experiments were performed to evaluate (1) tensile force vs. contraction at varying pressure levels; (2) tensile force vs. pressure at a fixed displacement at 0 mm (i.e., zero contraction); and (3) dynamic response of tensile force generation.
In the first quasi-static experiment, the output tensile force vs. actuator contraction (or displacement) relation was evaluated under varying pressure levels. The experiment was performed at five different pressure levels (20, 60, 100, 160, and 200 kPa) with five repetitions per each pressure condition. The UTM was programmed to induce a controlled vertical translation and measure actuator force vs. contraction. Each measurement was completed once the load cell reading was 0 N indicating full actuator contraction. The load cell increased the uniaxial compression at 5 mm/s until it read 0 N of force. The load cell was returned to the zero position and the test was run cyclically for five repetitions. The average result (mean and mean ± standard deviation (std)) and the test condition are shown in Fig. 7a.
Tensile force of the ff-PAM was maximized when the actuator length was maximized (zero contraction) and the force approached 0 N as the actuator fully contracted. In addition, as the pressure level increased, the force output was less variable. At 200 kPa, the maximum force output was 346.5 ± 1.4 N, while at 100 kPa it was 245.4 ± 15.8 N, decreasing the output by 100 N and increasing the variability drastically. Following this trend, at 20 kPa the maximum force output was 83.0 ± 16.5 N. The variability was close to that at 100 kPa, yet the force dropped drastically.
In the second static experiment, the output tensile force vs. pressure relation was evaluated when displacement was fixed at 0 mm. This relation was compared with the predictions from the analytical model and the FEA simulated maximum force threshold. The dual ff-PAM was placed in a vice clamp with the UTM displacement fixed at 0 mm. The actuators we placed in the UTM as shown in Fig. 8a. The pressure increased quasi-statically from 0 to 200 kPa in fixed increments of 10 kPa until a stable load could be read from the UTM. Three repeated measurements were performed. The final maximum tensile force output of the ff-PAM actuator at 200 kPa measured by the UTM was 337.1 ± 1.4 N (Fig. 8b).
In the third experimental characterization, a dynamic test was performed to obtain a force vs. time relation to measure how quickly the actuator reacts to pressurized input. A fabric connector was affixed to the top and bottom of the ff-PAMs to secure both actuators together with a tapered fabric component used to transfer the force from pressurization to a single point (Fig. 8c). By allowing the actuator to interface with a fabric anchor, it is assumed that a more realistic force output can be measured to represent the behavior of the actuator when worn on the SR-AFO exosuit. The dynamic response was initiated by rapidly opening a 3-way, 2-channeled solenoid valve (320-12 VDC, Humphrey, USA) to quickly deliver pre-set pressure to the internal air chambers of the ff-PAM. This characterization is important since the ff-PAM actuator is designed to provide a tensile force through uniaxial contraction to the posterior end of the foot to assist plantarflexion during the push-off phase of human gait, and the actuator must be able to provide sufficient force output within a time window that allows the user to feel each controlled perturbation. At a fixed pressure of 150 kPa, and the valve was opened to provide rapid pressurization. The actuator was able to provide 212.3 ± 7.7 N of tensile force in 0.29 sec (Fig. 8d).
2.4.2. Characterization of MAVS
The MAVS actuators were tested using a custom clamp which was fabricated to fix the actuators in place while being subjected to deflection testing. The MAVS had a tab sewn into the free end to interface with the clamps paired with the load cell of UTM (Fig. 9a). This allowed for the UTM to apply a point load to the MAVS while it was fixed in a cantilever position. The UTM pulled the free end of the MAVS upward 20 mm. The tab acted as a constant point of contact so that the lever arm distance did not change. Each iteration was deflected upward and the force was measured so that the stiffness of each MAVS could be determined.
The MAVS-A2 actuator, our selection for the SR-AFO, was evaluated for pressure levels of 30, 50, and 100 kPa in the cantilever orientation and compared to the analytical model. The rationale for these pressure level selections was based on two factors: (1) accuracy of higher pressures and (2) comfort of the user. With the MAVS actuator integrated into the SR-AFO design, user feedback indicated pressure levels above 100 kPa were not comfortable during walking. This evaluation was performed for the original MAVS-A2 design where N = 1, and performed a second time for MAVS-A2 for N = 5, the latter of which is the version of the MAVS-A2 actuator embedded into the SR-AFO exosuit.
The MAVS-A2 actuator with N = 1 experienced 20 mm of deflection with an applied load of 12.1 ± 0.2 N, 15.6 ± 0.1 N, and 26.7 ± 0.1 N at 30, 50, and 100 kPa, respectively (Fig. 9b). It was observed that as pressure decreased, so did the applied load required to reach the fixed displacement threshold. The variability increased with lower pressures, though this was anticipated as lower pressure would result in higher changes of buckling at unpredictable locations. Increasing the length to N = 5 showed similar trends. While the overall deflection had less resistance to bending observed than the N = 1 condition, this was an expected result since the MAVS-A2 had an increased length. The MAVS-A2 with N = 5 required 2.4 ± 0.2 N, 3.1 ± 0.2 N, and 5.3 ± 0.2 N, for 30, 50, and 100 kPa, respectively, to reach 20 mm of deflection (Fig. 9c).
2.5. Actuator Fabrication
The pneumatic chambers of the ff-PAM and MAVS actuators were fabricated using TPU coated Nylon fabric (200 Denier Rockywoods Fabrics), which was thermally bonded with a 2 mm heat impulse sealer (AIE-500 2 mm Impulse Sealer, American International Electric INC, CA). The heat impulse sealer applied uniform heat and pressure to the seam to create an air-tight seal (Thalman et al., 2019).
2.5.1. Fabrication of ff-PAM
The ff-PAM actuator was fabricated primarily following the procedures for soft fabric actuators listed above, however there were a few additional details that made the actuator design unique. Two layers of TPU coated Nylon were first stacked and sealed (Fig. 10a1). Once three sides were sealed, thick card-stock stencils were placed over the heat sealer with a gap size of the inner seams (Fig. 10a2). This ensured that the seal was only formed for the segment in the center and left the gaps open and unsealed on either side of the ff-PAM to allow airflow to the subsequent segments. Each segment was sealed using this technique until the 8 chambers were created. A hole was created in the last chamber (Fig. 10a2), and a fitting was inserted (Fig. 10a3). The last side was then sealed to create one ff-PAM actuator.
For the dual ff-PAM, two actuators were fabricated using this process and laid out in parallel. Nylon fabric (un-coated) was cut to sew the two actuators to one another along the length of the top and bottom seams. A standard tabletop sewing machine (SE-400 Brother, Bridgewater, NJ) was used to create these seams and stitch the fabric connector onto the ff-PAMs. The Nylon fabric connector was cut into a pre-defined pattern that matched the width of the dual ff-PAM and tapered to a single thin strap. This allowed for the dual ff-PAM to be affixed firmly to the SR-AFO at the base of the heel and at the back of the knee with Velcro.
2.5.2. Fabrication of MAVS
The first of the three layer design was composed of rigid PLA 3D Printer Filament (1.75 mm diameter PLA 3D Printer Filament, HATCHBOX) sewn between two layers of fabric. Two layers of the embedded rigid retainers were used to encase an inflatable actuator in between. A sewing machine was used to create stitching to hold the rigid retainers in place, as well as to hold the layers together.
The MAVS consisted of a total of three main layers as shown in Fig. 10b: a single fabric-based inflatable actuator and two layers of Nylon material with the rigid retainers embedded into the layers. The inflatable chamber was sealed at the designated location to create a rectangular shape using the heat impulse sealer on three of the four sides (Fig. 10b1). The fourth side was left open for the installation of the pneumatic fitting (Fig. 10b2). A small hole was cut into the fabric and the threaded Nylon barbed nozzle and nut fitting were secured onto the TPU coated Nylon (Fig. 10b3). The final side was sealed with the impulse sealer to create an air-tight seal that is the same net shape as the entire actuator.
The additional two layers were fabricated using the same method for each (Fig. 10b4 - b6). The rigid retainers were 3D printed using PLA and have a thickness of 2 mm and a width of 40 mm, while the length as well as the distance between the rigid retainers were 10 mm for the selected MAVS-A2 actuator. Each of the constraining layers was made from two pieces of Nylon fabric, which were stacked with the rigid retainers placed in between at fixed distances. A sewing machine was used to create a stitched seam around the net shape of the rigid retainers, encasing the parts between the two Nylon layers. This was done to create the top and bottom constraining layers. A hole was cut into the top constraining layer to allow the tube fitting from the soft actuator to fit in between the rigid retainers. The sealed soft actuator was placed in between the two constraining layers (Fig. 10b7), with the fitting centered within the hole cut previously into the top constraining layer. A final seam was sewn in a rectangular shape around the rigid retainers, at a 5 mm offset. This seam allowance provided a buffer to avoid sewing into the sealed soft actuator and to provide an offset that constrained vertical expansion during inflation (Fig. 10b8).
2.6. SR-AFO Hardware Design
The SR-AFO was designed to be worn in a variety of applications, and is shown with all critical components in Fig. 11. The hardware used to control the exosuit is housed within a lightweight fabric belt, which can be adjusted to be worn on the hips, or worn as a backpack depending on the user preference. The cables are long enough to allow the hardware to be set aside and placed next to the test platform if on-board hardware is not ideal for the test conditions. The table-top version of the design was used in this study. The total worn mass of the SR-AFO system is 0.203 kg. The compressor is not worn during use. The compressor and all hardware sit beside the treadmill and/or walking path with a tether to the participant.
The hardware logic controller used an Arduino Mega 2560 Rev3, which connected all analog inputs and digital outputs of the SR-AFO to monitor the status of the system. These I/O were categorized by the force-sensitive resistor (FSR) sensors (Interlink 406, Adafruit, New York, USA), which were embedded in the user’s shoe to detect gait phase. Pressure sensors (ASDXAVX 100PGAA5, Honeywell Sensing and Productivity Solutions, Charlotte, USA) were used to monitor actuator pressure throughout the operation of the SR-AFO, and 3-way, 2-channeled solenoid valves (320 12 VDC, Humphrey, USA) MOSFETs (IRF520 MOSFET Driver Module) were used to actuate the SR-AFO exosuit at various times. The control pouch was connected to a portable air compressor (Model 8010A, California Air Tools, USA), which can be easily placed next to the current test site or facility and provided a pneumatic power source for the actuators.
3. Human Trials and Experimental Evaluation of the SR-AFO
In order to evaluate the effectiveness of the SR-AFO, specifically the MAVS for lateral ankle support and the ff-PAM for plantarflexion assistance, three different human experiments were designed and performed: 1) quiet standing; 2) walking over compliant surfaces; and 3) treadmill walking. A total of 6 able-bodied participants (N = 6) participated in the experiments (Male = 4, female = 2, age = 23 - 29 years, height: 1.68 - 1.88 m, weight: 47.6 - 72.9 kg, BMI: 16.9 - 23.0, and leg length: 0.81 - 1.05 m). All the participants gave informed consent prior to participation and the study was approved by ASU Institutional Review Board (STUDY00012099). A screening process was used to ensure this study included only able-bodied individuals, with no diagnosed musculoskeletal disorders, gait impairments, or past or current injuries to the lower limbs. Participants with any active illness or symptoms were also excluded.
3.1. Lateral Ankle Support during Standing: MAVS
3.1.1. Experimental Setup and Protocol
The objective of this experiment was to evaluate the effectiveness of the MAVS of the SR-AFO to support lateral ankle stability during standing. The degree of stiffness increase in the frontal plane with MAVS actuation was quantified and compared with natural ankle stiffness in the frontal plane without the exosuit. Sagittal plane stiffness was also quantified to evaluate the potential impact of MAVS actuation on ankle movement in the sagittal plane.
Each subject wore a pair of custom athletic shoes, and a dual-axis goniometer (SG110, Biometrics Ltd, UK) was placed on the right foot-ankle complex to measure 2D ankle kinematics. The dual-axis robotic platform (Fig. 12a), capable of applying position perturbations to the ankle in the sagittal and frontal planes and measuring the corresponding ankle torques, was used to quantify 2D ankle stiffness in both the sagittal and frontal planes. The platform was validated to accurately quantify 2D ankle stiffness during upright standing (Nalam & Lee, 2019; Nalam et al., 2020; Adjei et al., 2020; Nalam & Lee, 2018). The subject was asked to stand with the right foot placed on the robotic platform and the left foot on the elevated ground right next to the platform. The right foot was placed in a fashion to ensure that the axes of rotation of the robotic platform were as closely aligned as possible with those of the ankle. Our previous study confirmed that any potential misalignment in the foot placement has a minimal impact on the quantification of ankle stiffness in the sagittal and frontal planes (Nalam & Lee, 2019).
A fast ramp-and-hold position perturbation of 3° and a duration of 100 ms was randomly applied either in the dorsiflexion direction or the eversion direction to quantify sagittal plane stiffness and frontal plane stiffness, respectively. A total of 30 perturbations was applied in each direction. The experiment was performed under four conditions: (1) No exosuit; (2) Passive exosuit (at 0 kPa); (3) Active exosuit (30 kPa); and (4) Active exosuit (50 kPa).
3.1.2. Data Analysis
Ankle stiffness was quantified by fitting a linear 2nd order model, consisting of ankle stiffness, ankle damping, and foot inertia, to the measured ankle kinematics and torques due to perturbation for a window of 100 ms starting from the onset of the perturbation. To check the reliability of stiffness estimation with the 2nd order model, the percentage variance accounted for (%VAF) between the estimated ankle torque from the best-fit 2nd order model and the measured ankle torque due to perturbation was calculated (H. Lee et al., 2014; Nalam et al., 2020). For each subject, stiffness increase with the exosuit was calculated with respect to the baseline measurement without the exosuit, i.e., No exosuit condition. Group average results (mean ± standard deviation) of the 6 subjects were reported.
3.1.3. Results
The MAVS of the SR-AFO effectively increased ankle stiffness in the frontal plane with a minimal impact on the stiffness in the sagittal plane (Fig. 12). Ankle stiffness was reliably quantified and successfully estimated by the 2nd order model in all experimental conditions, evidenced by high %VAF, which was greater than 97.5% in any of the 8 experimental conditions and in any subjects.
In the frontal plane, simply donning the exosuit (passive exosuit condition) increased ankle stiffness by 23.5 ± 12.6 Nm/rad from the free-foot baseline. Activating MAVS of the exosuit significantly increased the ankle stiffness. At the pressure level of 30 kPa, the increase from the baseline was 44.5 ± 13.8 Nm/rad. The stiffness increased with increasing pressure. At 50 kPa, the increase was 56.5 ± 18.6 Nm/rad. In the sagittal plane, the change in ankle stiffness was minimal. In average across subjects, even activating MAVS increased the ankle stiffness less than 10 Nm/rad. At the pressure level of 30 and 50 kPa, the stiffness increase from the baseline was only 4.7 ± 14.8 and 9.6 ± 17.4 Nm/rad, respectively.
3.2. Lateral Ankle Support during Walking: MAVS
3.2.1. Experimental Setup and Protocol
The objective of this experiment was to evaluate the effectiveness of the MAVS of the SR-AFO to support lateral ankle stability during walking over compliant surfaces. The degree of lateral ankle deflection with MAVS actuation was quantified and compared with the ankle deflection without the exosuit.
The dual-axis robotic platform was used to simulate compliant surfaces in the frontal plane. Our previous study confirmed that the robotic platform was capable of accurately simulating a wide range of compliance (inverse of stiffness) in both the sagittal and frontal planes (Nalam & Lee, 2019). In this experiment, two different compliant surfaces were simulated with stiffness of 100 Nm/rad (compliant) and 50 Nm/rad (more compliant) in the frontal plane, while a rigid surface (stiffness of 10,000 Nm/rad) was simulated in the sagittal plane.
The subject was instructed to walk on the elevated walkway (approximately 6 m in length; Fig. 13). A metronome was played at 100 bits per minute to encourage a consistent walking cadence. In addition, the subject’s stride length was measured and marked along the walkway leading up to the platform to ensure consistent foot landing on the platform. The experiment was performed under 6 conditions: 2 surface conditions (compliant and more compliant) × 3 exosuit conditions (No exosuit, Passive exosuit (0 kPa), and Active exosuit (30 kPa)). In each of the 6 experimental conditions, 30 walking trials were completed, resulting in a total of 180 walking trials. The order of the surface conditions was fully randomized.
3.2.2. Data Analysis
Lateral ankle deflection in the frontal plane was measured using the goniometer from the moment of heel strike to toe-off (0 - 60% of the gait cycle). To remove outlier data due to simple human error in foot placement on the platform during walking, only the data with the foot center of pressure within 0 (the axis of rotation of the platform) and 5 cm lateral offset were included in data analysis. For each subject, peak-to-peak ankle deflection in the frontal plane was quantified throughout the stance phase, and group average results of the 6 subjects for this measure were compared across the different support conditions.
3.2.3. Results
The SR-AFO with MAVS actuation effectively supported lateral ankle stability during walking over the compliant surfaces (Fig. 14). Results from a representative subject confirmed a notable reduction in the peak-to-peak ankle deflection in the frontal plane (Fig. 14(a-b)). Group results further demonstrated that these trends were consistent across subjects (Fig. 14(c-d)). In the compliant surface condition (100 Nm/rad), the peak-to-peak ankle deflection was 12.5 ± 4.1° with free-foot, 11.6 ± 4.7° after donning the SR-AFO (passive exosuit), which was only a minor decrease. However, MAVS actuation with 30 kPa decreased the deflection to 9.7 ± 3.1°. In the more compliant surface condition (50 Nm/rad), the free foot peak-to-peak ankle deflection was 13.2 ± 3.7°. After donning the exosuit, the deflection was 11.0 ± 4.3°. With MAVS actuation at 30 kPa, the deflection decreased to 9.8 ± 4.2°.
3.3. Plantarflexion Assistance during Walking: ff-PAM
3.3.1. Experimental Setup and Protocol
The objective of this experiment was to evaluate the effectiveness of the ff-PAM of the SR-AFO to assist plantarflexion during walking. Activation of plantarflexor muscles in the push-off phase with and without ff-PAM actuation was compared.
An instrumented treadmill (Bertec Treadmill, Columbus, OH, USA), capable of measuring ground reaction forces (Fig. 15a), was used to detect the moment of heel strike and determine the actuation timing of the ff-PAM, where the valve releases instantaneous pressure from 40 - 60% of the gait cycle (Fig. 15c). A wireless electromyography (EMG) system (Trigno, Delsys, Natic, MA, USA) was used to monitor activation of two major plantarflexors, soleus (SOL) and medial gastrocnemius (GAS), throughout the experiment. The surface EMG sensors were placed and maximum voluntary contraction (MVC) of each muscle was measured as per standard International Society of Electrophysiology and Kinesiology (ISEK) protocols (Merletti & Di Torino, 1999).
Prior to the main walking experiment, the subject was asked to select a preferred walking speed, which was determined by increasing the treadmill speed by 0.1 m/s until the subject indicated the pace was too fast for a natural cadence, and then decreased the speed by 0.1 m/s until the pace was determined to feel too slow. This process was repeated one more time and the final preferred walking speed was selected by averaging the two values. For the subjects in this study, this speed ranged from 0.9-1.2 m/s. The subject was then instructed to walk with the selected preferred walking speed for two minutes, which determined the average stride time (i.e., gait cycle duration; Tc).
The main experiment was performed under two conditions: (1) No exosuit and (2) active exosuit. In the active exosuit condition, the ff-PAM was pressurized at 150 kPa in 40-60% of the gait cycle (0.4-0.6Tc) and depressurized in the rest phases of the gait cycle, which was designed to assist push-off in the late stance phase. The subject walked for 5 minutes for each experimental condition. A minimum of 3 minute resting period was provided between trials to prevent any potential muscle fatigue.
3.3.2. Data Analysis
Muscle effort was quantified by calculating the normalized EMG amplitude. Surface EMG data was first demeaned, rectified, filtered using a low-pass 2nd order Butterworth filter with a cutoff frequency of 5 Hz. Muscle activity was then normalized with respect to the maximum muscle activity captured during MVC measurement. The amplitude data was segmented based on successive heel-strikes and each segmented stride data was normalized to the percentage gait cycle (0-100%).
The active region for exosuit assistance (40-60%) was then isolated to evaluate the effectiveness of the ff-PAM for providing assistance to the primary plantarflexor muscles (i.e., SOL and GAS) during push-off (Fig. 16). The average reduction of muscle activation in SOL and GAS was quantified by taking the integral of the area under the amplitude curve between 40-60% of each gait cycle to determine the difference between the no exosuit and active exosuit conditions. In addition, the reduction in peak EMG amplitude within the assistance time window was calculated between the two experimental conditions. Group average results of the 6 subjects for these two measures were reported.
3.3.3. Results
The SR-AFO with ff-PAM actuation effectively reduced muscle effort in plantarflexors in the push-off phase of walking. Results from a representative subject showed a reduction in both the average and peak EMG amplitude within the assistance time window (40-60% of the gait cycle) in both SOL and GAS muscles (Fig. 16a - b). Group results demonstrated that this trend was consistent across all subjects. Compared to the no exosuit condition, the active exosuit condition reduced the average EMG amplitude by 5.2% and 12.1% in SOL and GAS, respectively (Fig. 16c). The peak EMG amplitude was also reduced by 9.3% and 12.4% in SOL and GAS, respectively (Fig. 16d).
4. Discussion
This paper presents the fully integrated version of the SR-AFO, which is designed to provide medial and lateral ankle support to prevent ankle sprains, as well as plantarflexion assistance to aid the push-off phase during walking. The SR-AFO is made of lightweight materials, entirely fabricated from textile fabrics. The total weight for fabric boot, knee brace, fabric actuators, and tubings is 0.23 kg. The final design considerations present a novel approach to ankle assistance in both the sagittal and frontal planes using two sets of actuators. The focus of this work is for rehabilitative settings and applications, where pressure lines are assumed to already be established and functional within the walls of the facility, and ready for use. The weight of the compressor and control system do not contribute to the weight of the orthosis because this iteration of the design is not intended to have the user don those components of the system. The intention is to have the control box and compressor sitting beside the treadmill or walkway, with a tether connecting the heavier hardware to the participant. All trials reported in this paper were performed in this orientation.
The first actuator presented was the ff-PAM, which contracts similarly to a muscle when activated. The pneumatic actuation, used to create the tensile force generated by the ff-PAM, generates a high force-to-weight ratio that showed promising results for assisting ankle plantarflexion. The number of chambers used in the ff-PAM was set to 8 considering overall length, contraction ratio, and robustness of the actuator. Adding more chambers to each actuator improved the stroke length of the actuators. Previous works showed that the chamber sizing and ratio has the larger impact on the overall force output and contraction ratio, and the number of chambers did not make a notable impact on overall force production with similar design (Kwon et al., 2020; Niiyama et al., 2015; Thalman et al., 2019). Adding a second actuator in parallel is what increased the force significantly. The dual ff-PAM configuration was used to enhance plantarflexion assistance, generating a maximum force output of 337.1 ± 1.4 N at 200 kPa, which fell within 0.5% of the predicted values from the analytical model (336 N) and FEA simulation result (337.5 N). Similar designs in previous work (Niiyama et al., 2015) reported a tensile force of 100 N at 40 kPa with a single actuator, while the dual ff-PAM achieved 200 N at 50 kPa with two parallel actuators. The ff-PAM actuators, made of a TPU coated Nylon, have a much higher burst pressure than TPU alone (can be pressurized up to 300 kPa before starting to experience seam failures) (Thalman et al., 2019).
In previous work (Thalman, Hertzell, & Lee, 2020), the dual ff-PAM actuator used in the SR-AFO exosuit could provide peak force output of 118.2 ± 3.1 N in 0.3 sec at 150 kPa. In this study, after increasing the tubing diameter used in the valves to 1/4 inch outside diameter tubing, the dual ff-PAM actuator was able to provide 212.3 ± 7.7 N of tensile force in 0.3 sec at 150 kPa. This yielded a 79.5% increase in the force output from the previously tested design of the SR-AFO. Assuming these force output values, and and the average lever arm of 10 cm from the base of the heel to the center of the ankle joint, the estimated torque values correspond to roughly 21.2 Nm at the ankle joint to assist plantarflexion. Previous studies using a rigid ankle robot reported 23 Nm of maximum torque with a weight of 3.6 kg (Roy et al., 2009), which highlights the substantially higher torque density of the SR-AFO.
The MAVS actuator is the second set of actuators featured in the SR-AFO. This design consists of a combination of soft and rigid materials to achieve a design that is compliant when inactive, but retains an increased level of stiffness and resistance to buckling when inflated, fortified by the rigid retainers which limit outward expansion of the soft materials. The design for the MAVS actuators were inspired by previous work done in laminate-based actuators with variable stiffness (Jiang & Gravish, 2018), and were modeled based on Timoshenko’s theory (Wielgosz & Thomas, 2002; Thomas & VANa, 2019; Wielgosz et al., 2008). This interaction between rigid and soft materials results in the MAVS actuator, which was optimized and characterized for the SR-AFO exosuit. The ratio of rigid to soft material in the final implementation was selected based on the pairing that resulted in low stiffness for user comfort when deflated, and high stiffness for sufficient medial/lateral ankle support when pressurized. The final MAVS design determined to be the best suited for the SR-AFO was the MAVS-A2, with a rigid retainer of Lr = 1 cm and a gap of exposed soft actuator at Lg = 1 cm. MAVS-A2 was the second highest stiffness value observed, reaching 26.7 ± 0.1 N with a calculated stiffness of 1,335.5 N/m and fell within 9.1% of the model predictions, and also showed the lowest stiffness in the passive condition as presented in previous evaluations (Thalman, Hertzell, Debeurre, & Lee, 2020).
Six able-bodied young participants were recruited to perform a series of experiments to validate the overall efficacy of the SR-AFO. The first performance evaluation was conducted using a dual-axis robotic platform, which characterized ankle stiffness as done in previous works with the participant staying in a quiet standing position (Nalam et al., 2020; Adjei et al., 2020). The MAVS actuators were evaluated using the platform with the SR-AFO donned on the right foot in three conditions: passive (no pressure) and two pressure levels. The group results indicated that the MAVS actuators showed an increase in ankle stiffness in the frontal plane when the MAVS actuators were active, while stiffness in the sagittal plane remained fairly constant. The frontal plane showed an average increase of 56.5 Nm/rad at 50 kPa from the baseline free foot stiffness and 44.5 Nm/rad increase at 30 kPa. The sagittal plane showed an increase in stiffness less than 10 Nm/rad for each pressure level. These results support the proposition that the MAVS actuators can increase ankle stiffness in the medial and lateral directions in the frontal plane, with minimal impact on the range of motion or movement of the ankle in the sagittal plane.
The MAVS actuators were evaluated in a more dynamic setting, where the participants were instructed to walk across the platform while compliant surfaces were simulated in the frontal plane. Two compliant surfaces were evaluated, at 50 and 100 Nm/rad. This was done for 30 and 50 kPa conditions for the MAVS actuators, as well as the passive (0 kPa) condition. Results from these trials showed that the overall peak-to-peak ankle deflection in the frontal plane decreased when the MAVS actuators were active compared to the free-foot condition. The decrease in ankle deflection supports the hypothesis that the MAVS actuators would be able to help prevent ankle sprains. By decreasing the overall deflection of the ankle during walking over an unanticipated compliant surface under the foot, the MAVS demonstrated effectiveness in decreasing the range of motion in the medial and lateral directions. With MAVS actuation at 30 kPa, the deflection decreased from 13.2° to 9.8° in the most compliant condition.
Previous work has proven that restraining inversion-eversion ankle motion can effectively prevent ankle sprains. When compared with no prevention, passive support from ankle taping and bracing significantly reduces the incidence of ankle sprains (Verhagen & Bay, 2010) which has been mainly attributed to the increased ankle stiffness with the addition of external support (Fayson et al., 2013). Considering the small range of motion in inversion-eversion during normal walking (< 15 °), reduction of about 2.5 ° is a meaningful decrease. The MAVS actuator was only at a single pressure level of 30 kPa in this preliminary study, and still the SR-AFO provide much higher stiffness support with higher pressure (Fig. 12 b - c) that would lead to more decreased ankle deflection. The SR-AFO with MAVS actuator has this capability, which is not achievable in traditional passive AFOs.
The dual ff-PAM actuators were evaluated during treadmill walking. EMG sensors were used to monitor muscle activation of the SOL and GAS throughout the trials. The results showed that the SR-AFO was able to reduce the muscle activation of the both plantarflexor muscles during the 40 – 60% window of the gait cycle in terms of average muscle effort and peak muscle effort. These observed changes and reductions in muscle effort suggest that the dual ff-PAM actuator was able to offset some of the effort required from the participant in the free-foot condition and provide assistance from the robotic actuation during the identified range of the gait cycle, i.e., the push-off phase of walking. This result obtained from able-bodied participants is a promising result that could indicate potential benefits when used with impaired users. With able-bodied users, the SR-AFO was able to offset existing effort exerted, however, in impaired users, it is predicted that the SR-AFO would instead be able to supplement an otherwise deficient effort that could be exerted from an impaired limb. Since the average gait cycles measured for able-bodied participants in the study ranged from 1.1 - 1.2 sec, the actuation time that reached peak force output within a 0.3 sec window would be sufficient to provide plantarflexion assistance with minimal latency.
The most frequently observed modes of failure originated from the heat seals on the actuators. During fabrication, the MAVS actuators had the potential to fail due to human error in the precision needed in sewing the actuators together in order to create a tight and compact form-factor in the design. However, once sealed and sewn together correctly, no failure of the MAVS actuators was observed during the trials. The ff-PAM actuators showed signs of fatigue in the heat seals, mainly the center seals that separate each segment. The seams would periodically burst after several days of rigorous use and testing with participants, where the heat seal would delaminate, rupture, and prevent proper inflation. The ff-PAM actuators are simple to fabricate and recreate (approximately 10 minutes) and with the design of the attachment points on the SR-AFO, only take a few minutes to swap out with a new actuator if a burst did occur.
The SR-AFO showed promising results when evaluated with able-bodied participants in both standing and walking conditions. Overall evaluation of the SR-AFO exosuit showed a potential for future trials with impaired users to assist in lower extremity tasks and serve as a preventative measure to reduce risk of trips or falls due to lateral ankle instability.
Given the potential of this study, several limitations should be acknowledged. The main focus of this paper was design, modeling, and fabrication, and preliminary testing of the device. This study reports the results of 6 subjects, which is too low to perform and report accurate or reliable statistical analysis. Rigorous human experiments to evaluate the effectiveness of the device will be performed in our future studies. Preliminary results of the design were promising, but further and more expansive studies need to be conducted to report reliable statistical significance of results. Other limitations included in-lab testing rather than the ability to test in a clinical setting. Even with an adjustment round to acclimate to the device, we anticipated slight changes to the reported kinematics in this study. We plan to investigate this over a wider range of able bodied participants in future work and monitor kinematics over a larger sample size. Additionally, this study evaluated only eversion extensively during static standing, and so future work will investigate effectiveness of the MAVS actuators to increase inversion stiffness at the ankle.
Future work for the SR-AFO will begin to investigate the benefits of the device in clinical trials with users suffering from various gait abnormalities. Clinical trials will be a critical next step to begin identifying the rehabilitative capabilities of the device. Other future efforts will focus on reducing the size and weight of the control box to provide a more comfortable and low-profile design for increased comfort and portability. Additional future work will also investigate the metabolic cost of walking while using the SR-AFO to determine the total reduction in effort to expand on EMG data collection during use. Finally, ongoing and planned research efforts have begun utilizing the SR-AFO for entrainment studies (Thalman, Debeurre, & Lee, 2021), and expanding the actuation and assistance of the actuators to other joints such as the hip (Thalman, Baye-Wallace, & Lee, 2021; Baye-Wallace et al., 2022) and comparing results to other rigid exoskeleton robots.
Funding statement.
This work is funded by the National Institute of Arthritis and Musculoskeletal and Skin Diseases of the National Institutes of Health under Award Number R01AR080826 and the Global Sport Institute of the adidas and Arizona State University (ASU) Global Sport Alliance. C. M. Thalman is funded by the National Science Foundation GRFP award #1841051. The authors thank Varun Nalam and Omik Save for their contributions toward the completion of this work.
Footnotes
Conflicts of interest statement. None
Ethical standards. The research meets all ethical guidelines, including adherence to the legal requirements of the study country.
References
- Adams W, Sridar S, Thalman C, Copenhaver B, Elsaad H, & Polygerinos P (2018). Water pipe robot utilizing soft inflatable actuators. In 2018 ieee international conference on soft robotics (robosoft). [Google Scholar]
- Adjei E, Nalam V, & Lee H (2020). Sex differences in human ankle stiffness during standing balance. Frontiers in Sports and Active Living, 2, 570449. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Asbeck A, Dyer R, Larusson A, & Walsh C (2013). Biologically-inspired soft exosuit. In 2013 ieee 13th international conference on rehabilitation robotics (icorr) (pp. 1–8). doi: [DOI] [PubMed] [Google Scholar]
- Bao G, Fang H, Chen L, Wan Y, Xu F, Yang Q, & Zhang L (2018). Soft robotics: Academic insights and perspectives through bibliometric analysis. Soft Robotics, 5(3), 229–241. doi: [DOI] [PMC free article] [PubMed] [Google Scholar]
- Baye-Wallace L, Thalman CM, & Lee H (2022). Entrainment during human locomotion using a lightweight soft robotic hip exosuit (sr-hexo). IEEE Robotics and Automation Letters, 7(3), 6131–6138. [Google Scholar]
- Browning RC, Modica JR, Kram R, & Goswami A (2007). The effects of adding mass to the legs on the energetics and biomechanics of walking. Medicine & Science in Sports & Exercise, 39(3), 515–525. [DOI] [PubMed] [Google Scholar]
- Ching-Ping C, & Hannaford B (1996, Feb). Measurement and modeling of mckibben pneumatic artificial muscles. IEEE Transactions on Robotics and Automation, 12(1), 90–102. Retrieved from 10.1109/70.481753 doi: [DOI] [Google Scholar]
- Chung J, Heimgartner R, O’Neill CT, Phipps NS, & Walsh CJ (2018). Exoboot, a soft inflatable robotic boot to assist ankle during walking: Design, characterization and preliminary tests. In 2018 7th ieee international conference on biomedical robotics and biomechatronics (biorob) (pp. 509–516). [Google Scholar]
- Cogollor J, Rojo-Lacal J, Hermsdörfer J, Ferre M, Waldmeyer M, Giachritsis C, … Sebastián J (2018). Evolution of cognitive rehabilitation after stroke from traditional techniques to smart and personalized home-based information and communication technology systems: literature review. JMIR rehabilitation and assistive technologies, 5(1), e4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Cowper G (1966). The shear coefficient in timoshenko’s beam theory. [Google Scholar]
- Doumit M, Fahim A, & Munro M (2009, Dec). Analytical modeling and experimental validation of the braided pneumatic muscle. IEEE Transactions on Robotics, 25, 1282–1291. doi: [Google Scholar]
- Farris DJ, & Sawicki GS (2011). The mechanics and energetics of human walking and running: a joint level perspective. Journal of The Royal Society Interface, 9(66), 110–118. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Fayson SD, Needle AR, & Kaminski TW (2013). The effects of ankle kinesio® taping on ankle stiffness and dynamic balance. Research in sports medicine, 21(3), 204–216. [DOI] [PubMed] [Google Scholar]
- Garrick JG (1977). The frequency of injury, mechanism of injury, and epidemiology of ankle sprains. The American journal of sports medicine, 5(6), 241–242. [DOI] [PubMed] [Google Scholar]
- Jiang M, & Gravish N (2018). Sliding-layer laminates: a robotic material enabling robust and adaptable undulatory locomotion. In 2018 ieee/rsj international conference on intelligent robots and systems (iros) (pp. 5944–5951). [Google Scholar]
- Kwon J, Park J-H, Ku S, Jeong Y, Paik N-J, & Park Y-L (2019). A soft wearable robotic ankle-foot-orthosis for post-stroke patients. IEEE Robotics and Automation Letters, 4(3), 2547–2552. [Google Scholar]
- Kwon J, Yoon SJ, & Park Y-L (2020). Flat inflatable artificial muscles with large stroke and adjustable force–length relations. IEEE Transactions on Robotics, 36(3), 743–756. [Google Scholar]
- Lee H, Krebs HI, & Hogan N (2014). Multivariable dynamic ankle mechanical impedance with active muscles. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 22(5), 971–981. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lee S, Crea S, Malcolm P, Galiana I, Asbeck A, & Walsh C (2016). Controlling negative and positive power at the ankle with a soft exosuit. In Ieee international conference on robotics and automation (icra) (pp. 3509–3515). [Google Scholar]
- Lusardi MM, Jorge M, & Nielsen CC (2013). Orthotics and prosthetics in rehabilitation-e-book. Elsevier Health Sciences. [Google Scholar]
- Malcolm P, Lee S, Crea S, Siviy C, Saucedo F, Galiana I, … Walsh CJ (2017). Varying negative work assistance at the ankle with a soft exosuit during loaded walking. Journal of neuroengineering and rehabilitation, 14(1), 62. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Merletti R, & Di Torino P (1999). Standards for reporting emg data. J Electromyogr Kinesiol, 9(1), 3–4. [Google Scholar]
- Mueller MJ, Minor SD, Schaaf JA, Strube MJ, & Sahrmann SA (1995). Relationship of plantar-flexor peak torque and dorsiflexion range of motion to kinetic variables during walking. Physical therapy, 75(8), 684–693. [DOI] [PubMed] [Google Scholar]
- Nalam V, Adjei E, & Lee H (2020). Quantification and modeling of ankle stiffness during standing balance. IEEE Transactions on Biomedical Engineering, 68(6), 1828–1837. [DOI] [PubMed] [Google Scholar]
- Nalam V, & Lee H (2018). Environment-dependent modulation of human ankle stiffness and its implication for the design of lower extremity robots. In 2018 15th international conference on ubiquitous robots (ur) (pp. 112–118). [Google Scholar]
- Nalam V, & Lee H (2019). Development of a two-axis robotic platform for the characterization of two-dimensional ankle mechanics. IEEE/ASME Transactions on Mechatronics, 24(2), 459–470. [Google Scholar]
- Niiyama R, Sun X, Sung C, An B, Rus D, & Kim S (2015). Pouch Motors: Printable Soft Actuators Integrated with Computational Design. Soft Robotics, 2(2), 59–70. doi: [Google Scholar]
- Park Y, Chen B, Pérez-Arancibia N, Young D, Stirling L, Wood R, … Nagpal R (2014). Design and control of a bioinspired soft wearable robotic device for ankle-foot rehabilitation. Bioinspiration & biomimetics, 9(1), 016007. Retrieved from http://iopscience.iop.org/article/10.1088/1748-3182/9/1/016007 doi: [DOI] [PubMed] [Google Scholar]
- Pepelnjak T, Karimi A, Maček A, & Mole N (2020). Altering the elastic properties of 3d printed poly-lactic acid (pla) parts by compressive cyclic loading. Materials, 13(19), 4456. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ren Y, Wu Y, Yang C, Xu T, Harvey RL, & Zhang L (2017). Developing a Wearable Ankle Rehabilitation Robotic Device for in-Bed Acute Stroke Rehabilitation. IEEE Transactions on Neural Systems and Rehabilitation Engineering. doi: [DOI] [PubMed] [Google Scholar]
- Roy A, Krebs HI, Williams DJ, Bever CT, Forrester LW, Macko RM, & Hogan N (2009). Robot-aided neurorehabilitation: a novel robot for ankle rehabilitation. IEEE transactions on robotics, 25(3), 569–582. [Google Scholar]
- Sankaranarayan H, Gupta A, Khanna M, Taly AB, & Thennarasu K (2016). Role of ankle foot orthosis in improving locomotion and functional recovery in patients with stroke: A prospective rehabilitation study. Journal of neurosciences in rural practice, 7(04), 544–549. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Sawicki GS, & Ferris DP (2009). Powered ankle exoskeletons reveal the metabolic cost of plantar flexor mechanical work during walking with longer steps at constant step frequency. Journal of Experimental Biology, 212(1), 21–31. [DOI] [PubMed] [Google Scholar]
- Shi B, Chen X, Yue Z, Yin S, Weng Q, Zhang X, … Wen W (2019). Wearable ankle robots in post-stroke rehabilitation of gait: A systematic review. Frontiers in neurorobotics, 13, 63. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Spector WD, & Fleishman JA (1998). Combining activities of daily living with instrumental activities of daily living to measure functional disability. The Journals of Gerontology Series B: Psychological Sciences and Social Sciences, 53(1), S46–S57. [DOI] [PubMed] [Google Scholar]
- Sun T, Chen Y, Han T, Jiao C, Lian B, & Song Y (2020). A soft gripper with variable stiffness inspired by pangolin scales, toothed pneumatic actuator and autonomous controller. Robotics and Computer-Integrated Manufacturing, 61, 101848. [Google Scholar]
- Tehrani MA, Akbari A, & Majumder M (2014). Polylactic acid (pla) layered silicate nanocomposites. In Handbook of polymernanocomposites. processing, performance and application (pp. 53–67). Springer. [Google Scholar]
- Thalman CM, & Artemiadis P (2020). A review of soft wearable robots that provide active assistance: Trends, common actuation methods, fabrication, and applications. Wearable Technologies, 1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Thalman CM, Baye-Wallace L, & Lee H (2021). A soft robotic hip exosuit (sr-hexo) to assist hip flexion and extension during human locomotion. In 2021 ieee/rsj international conference on intelligent robots and systems (iros) (pp. 5060–5066). [Google Scholar]
- Thalman CM, Debeurre M, & Lee H (2021). Entrainment during human locomotion using a soft wearable ankle robot. IEEE Robotics and Automation Letters, 6(3), 4265–4272. [Google Scholar]
- Thalman CM, Hertzell T, Debeurre M, & Lee H (2020). The multi-material actuator for variable stiffness (mavs): Design, modeling, and characterization of a soft actuator for lateral ankle support. In 2020 ieee/rsj international conference on intelligent robots and systems (iros) (pp. 8694–8700). [Google Scholar]
- Thalman CM, Hertzell T, & Lee H (2020). Toward a soft robotic ankle-foot orthosis (sr-afo) exosuit for human locomotion: Preliminary results in late stance plantarflexion assistance. In Ieee international conference on soft robotics, (robosoft). [Google Scholar]
- Thalman CM, Hsu J, Snyder L, & Polygerinos P (2019). Design of a soft ankle-foot orthosis exosuit for foot drop assistance. In 2019 international conference on robotics and automation (icra) (pp. 8436–8442). [Google Scholar]
- Thomas J, & VANa AL (2019). Inflatable beams subjected to axial forces.. [Google Scholar]
- Venesky K, Docherty CL, Dapena J, & Schrader J (2006). Prophylactic ankle braces and knee varus-valgus and internal-external rotation torque. Journal of athletic training, 41(3), 239. [PMC free article] [PubMed] [Google Scholar]
- Verhagen EA, & Bay K (2010). Optimising ankle sprain prevention: a critical review and practical appraisal of the literature. British journal of sports medicine, 44(15), 1082–1088. [DOI] [PubMed] [Google Scholar]
- Whiteside S, Allen M, Barringer W, Beiswenger W, Brncick M, Bulgarelli T, … Lin R (2007). Practice analysis of certified practitioners in the disciplines of orthotics and prosthetics. Alexandria (VA): American Board for Certification in Orthotics, Prosthetics, and Pedorthics. [Google Scholar]
- Wielgosz C, Thomas J, & Le Van A (2008). Mechanics of inflatable fabric beams. In International conference on computational & experimental engineering and sciences honolulu, hawaii, usa. [Google Scholar]
- Wielgosz C, & Thomas J-C (2002). Deflections of inflatable fabric panels at high pressure. Thin-walled structures, 40(6), 523–536. [Google Scholar]
- Winter DA (1983). Energy generation and absorption at the ankle and knee during fast, natural, and slow cadences. Clinical orthopaedics and related research(175), 147–154. [PubMed] [Google Scholar]
- Winter DA, & Sienko S (1988). Biomechanics of below-knee amputee gait. Journal of Biomechanics, 21(5), 361–367. [DOI] [PubMed] [Google Scholar]
- Yeung M, Chan K-M, So C, & Yuan W (1994). An epidemiological survey on ankle sprain. British journal of sports medicine, 28(2), 112–116. [DOI] [PMC free article] [PubMed] [Google Scholar]