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PLOS One logoLink to PLOS One
. 2025 Apr 23;20(4):e0320156. doi: 10.1371/journal.pone.0320156

A phase division-based multi-segment foot model for estimating dynamic foot arch stiffness during walking

Chenhao Liu 1, Jingang Yi 2, Long He 3, Yijun Zhang 4, Tao Liu 1,*
Editor: Fei Yan5
PMCID: PMC12017521  PMID: 40267154

Abstract

The arch of the human foot plays a significant role in bearing weight and keeping gait balance. Previous studies mainly focus on the foot arch stiffness at the static or quasi-dynamic state of a particular foot shape. The variation of the linear arch stiffness across the entire walking gait has rarely been reported. This work presents a phase division-based multi-segment foot model that considers plantar aponeurosis’s tension force for calculating the dynamics of the medial longitudinal arch. Kinematics and ground reaction forces of 10 healthy young adults during walking are recorded and analyzed. The stiffness changes of the foot arch throughout the stance phase are calculated. The experimental results show that the foot arch experiences a stiff-compliant-stiff-compliant transition during a single stance phase, including an extremely low stiffness during the plantar contact phase. By comparing the foot arch stiffness results with those from previous studies, the accuracy of the proposed model is indirectly validated. This study presents a new approach to explore the variation of the linear stiffness of the foot arch across the entire stance phase during walking. The proposed multi-segment foot model provides a new method for solving foot dynamics that can be used for wearable sensing and assistive design and applications.

Introduction

The human foot possesses a complex biomechanical structure that contains numerous bones, joints, muscles, ligaments, nerves, and vessels. Among these components, the foot arch plays a vital role in bearing the weight of the human body, absorbing the ground impact [1], distributing the pressure on the sole [2], and maintaining balance [3]. In great apes and other primates, no medial longitudinal arch (MLA) structure similar to humans has been found [4]. The stiffness of the arch is constantly changing during the stance phase. In clinical thought, the foot arch is compliant at ground contact but stiff during propulsion [5], playing a critical factor in human bipedal walking and running [4].

Estimation of the variation of the forces on the foot arch during walking is of great significance to understanding the energetics of gait. The foot arch’s compression and recoil over the stance phase are considered a vital contribution to the economy of walking locomotion [6]. The foot arch absorbs energy from the ground impact when compressed and then returns energy for propulsion when recoiled [7], with the dynamics of the foot arch changing constantly. Stearne et al. (2016) [8] demonstrated that during running, the compression/recoil of the foot arch helps reduce energy cost. The passive elastic work of the foot arch can largely explain the energy savings it provides, which would otherwise need to be performed by active muscles.

The stiffness of lower limb joints such as the hip [9] and knee [10] has been estimated and exploited to design robotic exoskeletons and prosthetics. Traditional foot arch support devices [1113] can ensure the standard height of the wearer’s foot arch by adding rigid protrusions under the arch. Nevertheless, such rigid, passive support does not account for changes in arch stiffness and could limit the compression and recoil of the foot arch, increasing the energy cost of running [8]. Understanding the changing characteristics of arch stiffness during the stance phase is crucial for designing foot orthoses and insoles, diagnosing and treating patients with flat feet, and designing and controlling other wearable assistive devices for the lower limb.

Although many studies [14,15] have measured and discussed the dynamic foot arch stiffness during walking, they all calculated the rotational arch moment using inverse dynamics based on ground reaction force (GRF). The joint moment-angle relationship is typically how dynamic arch stiffness is measured. Kern et al. (2019) [15] calculated midtarsal joint quasi-stiffness during walking with added mass and summarized the average stiffness during dorsiflexion and plantarflexion. However, linear arch stiffness is more consistent with the physical description of the ’arch’ structure, as demonstrated by other studies measuring arch stiffness in a static foot state [7,16]. Measuring the variation of linear arch stiffness during walking or running in vivo is challenging since we cannot directly measure the load on the foot arch when moving.

Many foot models have been proposed [1720] accounting for the foot arch and the mechanism influencing its stiffness. Farris et al. (2019) [18] found minimal support for the role of intrinsic foot muscles in supporting the arch in early and mid-stance during walking and running. Farris et al. (2020) [21] also demonstrated that active muscle contraction, rather than the passive windlass mechanism [22], primarily contributed to foot stiffness during bipedal walking propulsion. Additionally, active contraction of the ankle dorsiflexor muscles provides tension in the plantar fascia. At the same time, intrinsic foot muscles contribute to tension development in the plantar region, offering rigidity to the foot arch. Therefore, this study primarily focuses on the tension force of plantar aponeurosis (PA) as a critical factor influencing foot arch stiffness. In this study, the height change of the foot arch is used to describe the deformation, as defined by Venkadesan et al. (2020) [16], and the force on the foot arch will be calculated by a novel multi-segment foot model in different stance phases.

In this study, we present a multi-segment foot model for calculating the dynamics of the MLA based on PA’s tension force. The kinematic data of critical points in the model are measured to obtain the displacement of the height of the foot arch. The GRF during the stance phase is recorded to estimate the force acting on the foot arch based on the model. Subsequently, the foot arch linear stiffness during the stance phase is estimated and analyzed. Comparing the foot arch stiffness results with those from previous studies provides indirect validation of the accuracy of the proposed model. The contribution of this work lies in proposing a novel foot model that divides the stance phase into three phases and conducting force analysis on different segments of the foot during gait phases. Based on this model, the variation of the arch stiffness during the walking stance phase is estimated. The proposed phase division-based multi-segment foot model provides a new method for solving foot dynamics.

Materials and methods

Participants

Ten young, healthy subjects (Seven males and three females, age: 24  ±  2 years, height: 1 . 72  ±  0 . 05 meters, mass: 67  ±  11 kg) were informed and gave their written consent and participated in the study. This study was approved by the Medical Ethics Committee of the School of Biomedical Engineering and Instrument Science, Zhejiang University (Project identification code: 2021-39). The recruitment period for the subjects in this study was from December 1, 2021 to October 31, 2022. All subjects had neutral foot arches and had no current injuries or past medical history in the lower limbs. Individuals with flat feet, high arches, or other abnormal arches were excluded from the final group of participants.

Foot model

A phase division-based multi-segment foot model considering PA’s tension force is proposed, as shown in Fig 1(a). The model is a 2D-foot representation determined by the plane of the MLA, and it includes three essential parts related to human motion: the ankle, the MLA, and the metatarsophalangeal joint (MTPJ). The weight of the foot is small compared with the load on the foot or GRFs, and therefore, the gravity on the foot is neglected. The whole foot is divided into forefoot and rearfoot, with navicular bone as the boundary [23]. Mechanically, the forefoot and rearfoot are firmly connected at the navicular bone, and their interaction includes unknown forces and moments (both vectors) in the 2D plane. The stance phase of gait can be divided into three phases: heel contact phase (from the heel strike to the foot flat), plantar contact phase, and push-off phase.

Fig 1. (a) The multi-segment foot model consisted of a shank, rearfoot, forefoot, and toes.

Fig 1

The model includes three essential parts related to human motion: ankle, arch, and metatarsophalangeal joint, considering the PA’s tension force. (b) The free-body-diagrams of the foot during the heel contact phase, plantar contact phase, and push-off phase.

In this model, we consider both the active contraction of intrinsic foot muscles and the passive stretching force of the PA. The active contraction of intrinsic muscles can elevate the arch, while the passive stretching of the PA can lower it. However, their commonality is that both exert forces on the arch structure. Since the direction of the intrinsic muscle contraction force cannot be directly obtained, we assume that the direction of the forces from both factors aligns with that of the PA. Therefore, the ’tension force of the PA’ mentioned later refers to the combined effect of active muscle contraction and passive stretching forces.

Fig 1(b) illustrates the free-body diagrams of the foot in these phases, indicating the foot’s dynamics during the stance phase. During the heel contact phase, only considering the rearfoot since it is in contact with the ground, the model’s equations of motion are obtained from Newton’s second law. The generalized coordinates of this model are set at the position and orientation in the vertical plane, and the equations of motion are given by

[mR000mR000JR][RÿRθ¨R]=[Ff1+FPAFBWcosθBFAxFGR1FBWsinθBFAyFBWlB+FAyxAFAxyAMA] (1)

where (xR,yR) is the position of the center of mass of the rearfoot, (xA,yA) is the coordinate of arch break (navicular tuberosity), θR is the rotation angle of the rearfoot relative to the origin O, θB is the direction in which body weight FBW exerts a force on the rearfoot, lB is the moment arm, mR is the mass of the rearfoot, JR is the moment of inertia of rearfoot about the origin, Ff1 and FGR1 are horizontal and vertical reaction force between the ground and the sole of the rearfoot, and [FAxFAyMA]is a set of internal force of arch exerted by the firm connection of forefoot and rearfoot; see Fig 1. Moreover, according to the basic minimal biped walking model [24,25], the ground reaction force (FGR1) is equal to the load exerted by the body on the foot (FBW). FPA is the tension force of PA, whose variations during the stance phase have been investigated through cadaveric studies [26], human experiments [27], and finite element analysis [28]. The estimation of FPA extends beyond the scope of this study, and we directly adopt the tension force variation curve from Chen et al. (2015) [28]. Finally, noting that FAx, FAy, and MA are the only remaining unknowns, three equations for planar motion are obtained so that we have

{FAx=Ff1+FPAFGR1cosθBmRRFAy=(1sinθB)FGR1mRÿRMA=FGR1lB+FAyxAFAxyAJRθ¨R (2)

The load on the foot arch is the internal force of the foot caused by the plantar pressure and body weight. Therefore, we define the load on the arch:

FAL=FAx2+FAy2 (3)

During the plantar contact phase, the foot is considered as a whole. The whole foot is dynamically balanced, and the inertial force is negligible. Therefore, we take the static or quasi-dynamic foot state processing method [14,16]. Considering that the load applied to the arch structure is equivalent to the downward force exerted by the body on the foot, we obtain

FAL=FBW=FGR12+Ff12+FGR22+Ff22 (4)

where the right-hand side of represents the overall GRFs.

Similarly, during the push-off phase, the origin of the coordinates of the model is set at the first metatarsophalangeal joint. The ground-contacted forefoot is considered, and the equations of motion are written as:

[mF000mF000JF][FÿFθ¨F]=[Ff2FPAFAxFGR2FAyFAyxAFAxyA+MA] (5)

where (xF,yF) is the position of the center of mass of the forefoot, (xA,yA) is the coordinate of arch relative to the new origin, θF is the rotation angle of the forefoot relative to the origin, mF is the mass of the forefoot, JF is the moment of inertia of forefoot about the origin, and the Ff2 and FGR2 are horizontal and vertical reaction force between the ground and the sole of the forefoot. From Eq (5), we obtain

{FAx=Ff2+FPAmFFFAy=FGR2mFÿFMA=FAyxA+FAxyA+JFθ¨F (6)

and the load on the foot arch here is also defined as Eq (3).

The stiffness of foot arch k is defined as the changes of load applied to the foot ΔFAL versus the height change of the foot arch Δh, that is,

k=ΔFALΔh (7)

and this applies to the heel contact phase, plantar contact phase, and push-off phase. We calculate the arch stiffness continuously by combining Eq (2), Eq (3), and Eq (7) for the heel contact phase, Eq (4) and Eq (7) for the plantar contact phase, and Eq (3), Eq (6), and Eq (7) for the push-off phase.

It must be noted that the stiffness calculation is the change in force at the arch versus the height of the arch. The change in force should be considered only along the direction in which height is measured. In calculation, the force at the arch we used was the component of ΔFAL in the direction of the Δh. All kinematic data and GRFs will be measured experimentally. The definition and measurement of the arch height h will be discussed in the next session.

Kinematic and kinetic data of foot

Foot kinematic data and GRFs were recorded to solve the inverse dynamics of the foot arch throughout the stance phase. Three-dimensional motion data were captured at 100 Hz using a 10-infrared camera motion capture system. Meanwhile, GRFs were collected synchronously at 1000 Hz using two 6-dimension force plates. The layout of the experimental site is shown in Fig 2(a). The force plates were placed in a staggered position to ensure that a complete stance phase of each foot was measured. A total of 12 retro-reflective markers were attached to landmarks on both feet of each participant, which included a posterior aspect of the calcaneus, first metatarsal head, tuberosity of the navicular bone, lateral side of the Hallux [29], medial ankle, and end of the calf, as shown in Fig 2(b). It should be noted that the marker at the medial ankle and end of the calf was used to determine θB. All the marked points were used not only to obtain the kinematics of the foot but also to obtain its geometric data. All the subjects were told to walk on the 6-meter-long track [30] at a comfortable pace and cadence for five repetitions, each beginning and ending with a period of statically standing. The static foot arch height of each subject was recorded and calculated during the standing. Each subject was given time and opportunity to acclimate in advance. They were guaranteed to complete at least three full gait cycles during each walk.

Fig 2. (a) The layout of the experimental site with a 10-infrared camera motion capture system and two force plates.

Fig 2

(b) The location of the six markers at one foot and the definition of arch height. (c) The definition of MTPJ angle.

All kinematic and GRF data were filtered offline using moving average filters. To apply our proposed 2D-foot dynamics model, the 3D position of all markers (in the world coordinate) and GRF data were transformed to the x-y plane where the MLA was located by a spatial mapping algorithm. The x direction of the vertical plane was the direction of the posterior aspect of the calcaneus pointing to the first metatarsal head, and the y direction was the vertical upward direction, which was the z direction in the original world coordinate system. Our analysis is predicated on the center of pressure of GRF, which is identified with one of the three segments of the foot.

As noted in Fig 2(b), the navicular height was defined as the height of the arch of each participant. After projecting the coordinates of all markers onto the proposed 2D plane, the foot arch height was calculated as the distance from the navicular bone marker to the line formed by the markers on the calcaneus and the first metatarsal head. The forefoot plane was defined by three markers at the Hallux, first metatarsal head, and navicular bone, whereas the rearfoot plane was defined by the markers at the navicular bone, ankle, and posterior aspect of the calcaneus. And these two planes are merged together at the navicular bone. For plotting and comparison, the truncated foot length (the distance from the posterior aspect of the heel to the first metatarsal head) was used for normalization to obtain the normalized navicular height truncation (NNHt) as defined by Murley et al. (2009) [31]. Moreover, the MTPJ angle or dorsiflexion of the toe was defined through two vectors, which were spanned as shown in Fig 2(c). The stance phase was defined with a 30N vertical ground reaction force threshold. The heel contact phase, plantar contact phase, and push-off phase are distinguished by the height of the posterior aspect of the calcaneus and first metatarsal head with a 20 mm height threshold, considering the size of the markers. All kinematic and kinetic data were synchronized, and time was normalized to the stance phase duration for plotting and visual inspection.

Model accuracy validation protocol

It is crucial to validate the accuracy of the proposed multi-segment foot model. The model established in this paper aims to calculate, or estimate, the load on the foot’s arch. However, measuring the load on the foot arch during walking is highly challenging, and there is currently no standard protocol to validate the accuracy of foot biomechanics models. In this study, we validate the accuracy of our model by comparing the calculated dynamic stiffness of the foot arch with results from existing studies, including quasi-dynamic, dynamic, linear stiffness, and rotational stiffness studies. This comparison serves as the model validation method, similar to the approach used by Bruening et al. (2012) [23]. The parameters selected for comparison include: the trend of changes in dynamic stiffness and the range of results. Moreover, we also calculate the coefficient of determination (R²) between the force-displacement (or moment-angle) curves of the foot arch in previous studies and our work. The comparison of the trend in dynamic stiffness variation and the R² results represent the similarity in the variation of foot arch dynamic stiffness between this study and previous studies. The comparison of stiffness result ranges reflects the validity of the results in this study.

Data from the force-displacement (or moment-angle) curves of the foot arch in previous studies were extracted using image data extraction software. These data were then compared with the results of this study. After aligning the data points through interpolation and scaling the values, the coefficient of determination (R²) was calculated using standard statistical formulas to assess the similarity in the variation of foot arch stiffness. Quasi-dynamic and static foot measurement studies will be excluded from the comparison of the trend in dynamic stiffness variation and R² calculation. Studies with stiffness results in different units from this study will be excluded from the comparison of result ranges.

Results

The subdivision of the stance phase was determined, and the changes in foot arch height, load, and stiffness throughout the stance phase were calculated, as presented in Fig 3. Fig 3(a) shows the changes in the height of markers at the posterior calcaneus and first metatarsal head. According to their changes, we divided one standing phase into the heel contact phase, plantar contact phase, and push-off phase, which were indicated by a color area. The change in arch height during the stance phase is shown in Fig 3(b), and the calculated force at the foot arch is plotted in Fig 3(c). For all subjects, the height of the foot arch continued to decline after heel contact, and there was a period of decline at the beginning of the push-off phase, and then it began to rise rapidly. Additionally, Fig 3(d) presents the variation of the arch stiffness across the stance phase. As the foot contacted the ground and the arch descended, the arch stiffness gradually decreased at the middle of the plantar contact phase. After entering the push-off stage, the stiffness of the arch raised sharply. Then, as the foot moved forward, the arch stiffness gradually decreased until the foot left the ground.

Fig 3. (a) The changes in the height of markers at the posterior calcaneus and first metatarsal head (mean of ten subjects) and the subdivision of the stance phase.

Fig 3

(b) The change in arch height during the stance phase (mean±standard deviation). (c) The force at the arch during the stance phase (mean±standard deviation). (d) The variation of the foot arch stiffness across the stance phase (mean±standard deviation).

Fig 4 shows an example of the load on the foot arch versus the downward displacement of the foot arch of one subject. The direction of the gait progression is marked in the figure, and the average arch stiffness was estimated by linearly fitting the curve at the beginning of the heel contact phase, the plantar contact phase, and the end of the push-off phase. The slopes of the three fitting lines were 0 . 124 kN/mm (Root Mean Square Error (RMSE)=1 . 589%) for the beginning of the heel contact phase, 0 . 0074 kN/mm (RMSE=21 . 7%) for the the plantar contact phase, and 0 . 038 kN/mm (RMSE=0 . 973%) for the end of the push-off phase. Moreover, Table 1 lists the calculated values of ten subjects’ average arch stiffness in these three periods, along with their sex, mass, truncated foot length, normalized static arch height and maximum arch displacement. The mean and standard deviation of the parameters were also calculated and noted. It can be seen that every subject’s foot arch stiffness turned extremely low during the plantar contact phase, and the average stiffness was 0 . 0069 kN/mm. Furthermore, it is clear from the table that the average arch stiffness in early heel contact was approximately three times that during late propulsion.

Fig 4. An example of the load on the foot arch versus the downward displacement of the foot arch of a subject, and the fitted slopes during early heel contact, plantar contact, and late propulsion.

Fig 4

Table 1. Details of subjects’ foot and the fitted average stiffness during early heel contact, plantar contact, and late propulsion.

Subjects Sex Mass(kg) Truncated foot length (mm) Static arch height (NNHt) Maximum arch displacement (NNHt) kHC  ( kN ∕ mm )  kPC  ( kN ∕ mm )  kPO  ( kN ∕ mm ) 
1 F 52 188 . 7 0 . 164 0 . 106 0 . 073 0 . 0081 0 . 028
2 F 58 184 . 1 0 . 161 0 . 090 0 . 124 0 . 0074 0 . 038
3 F 61 179 . 6 0 . 156 0 . 095 0 . 127 0 . 0067 0 . 029
4 M 56 204 . 1 0 . 175 0 . 072 0 . 121 0 . 0065 0 . 038
5 M 57 194 . 3 0 . 165 0 . 081 0 . 079 0 . 0071 0 . 059
6 M 72 197 . 9 0 . 162 0 . 092 0 . 130 0 . 0061 0 . 041
7 M 69 177 . 0 0 . 169 0 . 072 0 . 166 0 . 0066 0 . 053
8 M 84 206 . 3 0 . 155 0 . 071 0 . 149 0 . 0072 0 . 051
9 M 75 212 . 6 0 . 158 0 . 072 0 . 181 0 . 0066 0 . 043
10 M 82 214 . 8 0 . 154 0 . 071 0 . 133 0 . 0065 0 . 035
Mean 66.6 197.0 0.162 0.082 0.128 0.0069 0.042
STD 11.4 13.5 0.007 0.013 0.034 5.8×104 0.010

kHC: average arch stiffness during the beginning of heel contact phase. kPC: average arch stiffness during the plantar contact phase. kPO: average arch stiffness during the end of push-off phase. F: female, M: male. STD: Standard deviation.

Table 2 presents the results of the model accuracy validation, comparing the trend and range of dynamic stiffness variation calculated by the model proposed in this study with those from previous studies, as well as calculating the coefficient of determination (R²) between the force-displacement (or moment-angle) curves of the foot arch to characterize the similarity.

Table 2. Comparison of the trend and range of dynamic stiffness variation calculated by the model proposed in this study with those from previous studies and the coefficient of determination (R²) between the force-displacement (or moment-angle) curves.

Foot model Trend of arch stiffness Range of arch stiffness variation Coefficient of determination (R²)
This study stiff-compliant-stiff-compliant 0 − 0 . 188kN ∕ mm
Welte et al. (2021) [7] 0 . 042 − 0 . 211kN ∕ mm
Sanchis-Sales et al. (2019) [14] stiff-compliant-stiff-compliant 0.61
Kern et al. (2019) [15] stiff-compliant-stiff-compliant 0.88
Venkadesan et al. (2020) [16] 0 − 0 . 375kN ∕ mm
Davis et al. (2022) [17] compliant-stiff-compliant 0.66
Kondo et al. (2021) [32] stiff-compliant-stiff-compliant 0.74

– Not found or not applicable because it is a quasi-dynamic/static foot measurement or the units are different.

As shown in Table 2, for studies with stiffness results in the same units as those defined in this study, the range of foot arch stiffness is generally between 0 and 0.2 kN/mm, which is consistent with the results of this study. For studies with different units but also calculating dynamic stiffness variations, the stiffness variation trends are largely consistent when viewed from the force/displacement curves. These studies all exhibit stiffness during the heel contact phase, compliance during the plantar contact phase, a sudden increase in stiffness, and compliance during the push-off phase. The R² values from curve comparisons indicate that these results all have R² values above 0.6, with the highest reaching 0.88. These comparative results support the validity of the model proposed in this study.

Discussion

This work presented a new multi-segment foot model to explore the human body’s force on the foot arch and the variation of the foot arch linear stiffness during walking gait. The load on the foot arch was estimated by dividing the stance phase into three stages through a simplified model of the foot dynamics. Our results indicated that the foot arch underwent a stiff-compliant-stiff-compliant transition during a single stance phase. The foot arch is rigid when the foot touches the ground, and then the foot arch height gradually decreases. What stands out in the results is a period of extremely low arch stiffness before the foot moves forward. Then, a rapid increase in arch stiffness is present during the push-off phase, and the foot arch stiffness gradually decreases until the foot leaves the ground.

Table 3 presents a comparison between the proposed foot model and other foot models in the literature. In terms of definition, many studies quantify arch deformation using inter-joint angles [17,18] or forefoot-rearfoot angles [14,32]. Similar to this work, some studies adopt navicular height as the metric [7,16]. Regarding dynamics, almost all existing research directly utilizes the GRF or its derived moments to represent the force applied to the foot or arch. This study presents the phase division-based multi-segment model that not only calculates the force on the arch but also circumvents the need to measure various internal forces that are difficult to quantify directly, such as the plantar flexor force and intrinsic muscle forces during the push-off phase. Additionally, our model incorporates the active tension on the PA instead of solely relying on the passive windlass mechanism, which is controversial in terms of its contribution to arch stiffness. Ultimately, the proposed model enables continuous estimation of dynamic foot arch stiffness throughout the stance phase.

Table 3. Comparison between the proposed foot model and previous models for the human foot arch.

Foot model Force Displacement Mechanism Utility in vivo
This study Calculated by model Navicular height of the arch Tension force of PA Dynamic foot arch stiffness
Sanchis-Sales et al. (2019) [14] Calculated moments Midtarsal joint angle Windlass mechanism Dynamic foot arch stiffness
Kern et al. (2019) [15] Calculated moments Multi-Joints angle MTPJ dorsiflexion Quasi-stiffness
Davis et al. (2022) [17] GRF Cal-Met(∗)+ angle Tension force of PA and muscles MTPJ stiffness
Kondo et al. (2021) [32] GRF R-F(+) angle Windlass mechanism Fixed value of arch stiffness

+ R-F: rearfoot segment with respect to the forefoot segment. * Cal-Met: calcaneus and metatarsal segments.

Although the changes in linear arch stiffness during the stance phase have rarely been reported, we can still compare the arch stiffness results with those in the existing studies, as shown in Table 2. Venkadesan et al. (2020) [16] measured the stiffness of the cadaver foot in a static state, and the definition of arch stiffness is the same as in this paper. The stiffness of the foot arch varies between 0 − 0 . 375 kN/mm when placed flat on the ground. Kondo et al. (2021) [32] used a fixed value to represent the overall stiffness of the foot arch in the stance phase, but the arch stiffness was defined as the ground reaction force versus the angle between the forefoot and rearfoot. Nevertheless, the extremely low stiffness in the plantar contact phase was also found in their results. In this study, a reduction in the force at the arch was observed during a specific period of the plantar contact phase while the foot arch height continued to decrease. This phenomenon has been documented in other studies that directly utilize GRF to assess foot arch loading [18,32]. However, in studies employing moments to model external forces acting on the foot [33], the moment consistently increased, thereby indicating the absence of negative stiffness. This discrepancy arises from differences in definition and essentially highlights the highly compliant nature of the foot arch during the plantar contact phase.

The proposed multi-segment foot model provides a new method for solving foot dynamics. However, there are some limitations to this study. First, we used the tension force of PA to represent the combined effects of the passive windlass mechanism and active muscle forces and hypothesized that the direction of the forces from both factors aligns with that of the PA. Second, we directly utilized the PA’s tension force from existing literature for calculation. Additionally, we used 2-D representation of the foot arch instead of 3-D, sacrificing the accuracy. Finally, due to the lack of practical methods for measuring foot arch loads, the model accuracy validation in this study is incomplete. This limitation arises because the proposed model is specifically designed to calculate foot arch loads and cannot provide other mechanical quantities.

Prospects involve considering the windlass mechanism, calf muscles, ankle muscles and ligaments, and intrinsic foot muscles in 3-D perspective to further improve the proposed model. In terms of segmentation methods for multi-segment foot models, future work includes considering the addition of the midfoot to better align the model with the anatomy of the foot, thereby improving accuracy. Prospects also includes the potential to enhance the model by adding complexity, allowing for the calculation of other easily measurable physical quantities, thereby improving the accuracy validation method. The varying characteristics of the arch stiffness across the entire stance phase can serve as an inspiration and reference for foot orthoses and wearable assistive devices [34,35]. Regarding design and assisting control, foot orthoses, insoles, or assistive devices should consider the foot’s dynamic stiffness. Completely passive and rigid foot orthotics and insoles may not be appropriate. The ideal assistive device should have the ability of dynamic regulation to assist when the foot stiffens and become flexible when the foot arch reduces in height [36].

Conclusion

This paper presents a new approach to investigate the variation of foot arch linear stiffness throughout the stance phase of walking. We established a phase division-based multi-segment foot model to estimate the load on the arch during three phases by measuring ground reaction forces and solving inverse dynamics. Based on the kinetic and displacement data, the foot arch’s stiffness variation was estimated throughout the whole stance phase of walking. Extremely low stiffness during the plantar contact phase and an increasingly high stiffness during early propulsion were found. The foot arch experienced a stiff-compliant-stiff-compliant transition across the whole stance phase. The proposed multi-segment foot model can be further applied to other dynamics analysis and walking studies of the foot. This work also provided inspiration and reference for designing and controlling foot orthotics and intelligent assistive devices for the lower limb.

Data Availability

Data cannot be shared publicly because of legal and ethical concerns. Data are available from the Medical Ethics Committee of the School of Biomedical Engineering and Instrument Science, Zhejiang University (contact via e-mail: huacow@zju.edu.cn) for researchers who meet the criteria for access to confidential data.

Funding Statement

This work was supported in part by the National Natural Science Foundation of China Grant No. U1913601, 52175033 and U21A20120. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

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Decision Letter 0

Fei Yan

29 Dec 2024

PONE-D-24-51122A Phase Division-Based Multi-Segment Foot Model for Estimating Dynamic Foot Arch Stiffness During WalkingPLOS ONE

Dear Dr. Liu,

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Reviewer #2: Yes

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Reviewer #1: In this study, the authors presented a phase division-based multi-segment foot model that considered plantar aponeurosis's tension force for calculating the dynamics of the medial longitudinal arch. The results showed that the foot arch experienced a stiff compliant-stiff-compliant transition during a single stance phase, including an extremely low stiffness during the plantar contact phase. The method is interesting and the results are reliable, however there are few questions need to be clarified before publication.

1. in the foot model part, the authors claimed that “The whole foot is divided into forefoot and rearfoot, with navicular bone as the boundary.”. We usually divide foot into three parts: forefoot, midfoot and rearfoot. Why did follow the anatomy of foot? Can you remodel the foot and compare the discrepancy?

2. in the table 1, did you normalized the change of arch height with arch length? Why not?

3. In figure 4 description text, “The slopes of the three fitting lines were 0.124 kN/mm (Root Mean Square Error (RMSE)=1.589%) for the beginning of the heel contact phase, 0.0074 kN/mm (RMSE=0.211%) for the the plantar contact phase, and 0.038 kN/mm (RMSE=0.973%) for the end of the push-off phase”. While in the figure picture, it was marked with the 0.0074kN/mm(RMSE=0.217). Is this a typo?

Reviewer #2: This paper proposes a multi-segment foot model to explore the forces on the foot arch and the variation of the foot arch linear stiffness during walking gait. The study has certain value, but there are still some issues that need to be addressed.

1. How is the foot arch height calculated in the three phases of the stance phase?

2. Validating the accuracy of the proposed model is crucial. This section needs to be added.

3. What is the difference between calculating foot arch variation using foot arch angle changes versus using foot arch height changes?

4. In Table 2, the paper compares with other studies. In addition to differences in theoretical calculations, what are the differences in computational accuracy and results?

**********

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Reviewer #2: No

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PLoS One. 2025 Apr 23;20(4):e0320156. doi: 10.1371/journal.pone.0320156.r003

Author response to Decision Letter 1


4 Feb 2025

Response to the Academic Editor

Comments to the Author:

Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process.

We appreciate the Academic Editor’s help for inviting experts to review the paper. The reviewers have offered invaluable feedback, providing a wealth of insightful queries and suggestions. In response to reviewer feedback, we have enhanced our manuscript by addressing the following: we conducted a more thorough literature review, added the rationale behind the modeling approach, clarified the result data, defined the method for calculating foot arch height, included a model accuracy validation section, addressed the limitations of the current study, and provided an outlook for future research. The technical merit of the research has been clarified and enriched as a result of this review process, consequently enhancing the manuscript's readability.

Response to Reviewer # 1

In this study, the authors presented a phase division-based multi-segment foot model that considered plantar aponeurosis's tension force for calculating the dynamics of the medial longitudinal arch. The results showed that the foot arch experienced a stiff compliant-stiff-compliant transition during a single stance phase, including an extremely low stiffness during the plantar contact phase. The method is interesting and the results are reliable, however there are few questions need to be clarified before publication.

Thanks for your careful review and suggestions for improving the manuscript. Revisions have been made according to your suggestions.

1. in the foot model part, the authors claimed that “The whole foot is divided into forefoot and rearfoot, with navicular bone as the boundary.”. We usually divide foot into three parts: forefoot, midfoot and rearfoot. Why did follow the anatomy of foot? Can you remodel the foot and compare the discrepancy?

Response 1: We appreciate your careful review and professional comments. We deeply agree that the division of the foot into forefoot, midfoot, and rearfoot is the more commonly used anatomical model in both clinical and anatomical contexts. However, forefoot-rearfoot model with the navicular as a boundary are also used in many studies.

The reason for establishing the arch model by dividing it into forefoot and rearfoot mainly has two aspects. First, in this paper, the purpose of proposing this model is to facilitate the calculation of the loads acting on the foot arch. By dividing the foot into forefoot and rearfoot, with the arch as the dividing line, it is more effective in achieving our goal. Second, we refer to the multi-segment foot model proposed by D. A. Bruening et al. 2012 [1] (doi: 10.1016/j.gaitpost.2011.10.363), which states: “The model consists of a Shank (tibia and fibula) and three foot segments: (1) Hindfoot (calcaneus and talus), (2) Forefoot (navicular, cuboid, cuneiforms, and metatarsals), and (3) Hallux (proximal and distal phalanges). While additional segments may be useful in future work (e.g. medial/lateral and/or midfoot/forefoot segmentation), they currently present hurdles in force measurement and repeatability”. We have already added this citation in the Foot Model section: “The whole foot is divided into forefoot and rearfoot, with navicular bone as the boundary [23].”

[1]. Bruening DA, Cooney KM, Buczek FL. Analysis of a kinetic multi-segment foot model. Part I: Model repeatability and kinematic validity. Gait & Posture. 2012;35:529–534.

At the same time, the models used in the numerous studies we cited that attempt to estimate the dynamic stiffness of the foot arch use the forefoot and rearfoot segmentation method. Here we list some literature in our citations:

[2]. Sanchis-Sales E, Sancho-Bru JL, Roda-Sales A, Pascual-Huerta J. Variability of the Dynamic Stiffness of Foot Joints: Effect of Gait Speed. Journal of the American Podiatric Medical Association. 2019;109:291–298.

[3]. Kern AM, Papachatzis N, Patterson JM, Bruening DA, Takahashi KZ. Ankle and midtarsal joint quasi-stiffness during walking with added mass. PeerJ. 2019;7:e7487.

[4]. Davis DJ, Challis JH. Foot arch rigidity in walking: In vivo evidence for the contribution of metatarsophalangeal joint dorsiflexion. PLoS ONE. 2022;17:e0274141.

[5]. Bruening DA, Cooney KM, Buczek FL. Analysis of a kinetic multi-segment foot model part II: Kinetics and clinical implications. Gait & Posture. 2012;35:535–540.

Certainly, many studies have incorporated the midfoot into multi-segment foot models to calculate the foot stiffness [6, 7], underscoring its important role. However, we respectfully acknowledge that it would be beyond the scope and focus of our current study to re-model the foot using the three-segment approach and compare the differences between the two methods. We have, however, included a discussion on the potential for future work using the three-segment anatomical model in the last paragraph of the Discussion section: “In terms of segmentation methods for multi-segment foot models, future work includes considering the addition of the midfoot to better align the model with the anatomy of the foot, thereby improving accuracy.”

[6]. Farris DJ, Kelly LA, Cresswell AG, Lichtwark GA. The functional importance of human foot muscles for bipedal locomotion. Proceedings of the National Academy of Sciences. 2019;116:1645–1650.

[7] Zhu, S., Jenkyn, T. Development of a clinically useful multi-segment kinetic foot model. J Foot Ankle Res 16, 86 (2023). https://doi.org/10.1186/s13047-023-00686-0

2. in the table 1, did you normalized the change of arch height with arch length? Why not?

Response 2: Thank you for your comments. There must be some misunderstanding. We are confident that both the Static Arch Height and Maximum Arch Displacement in Table 1 have been normalized using the Truncated Foot Length, as indicated by the units labeled "NNHt" in the table. This aligns with the explanation provided in Section Kinematic and Kinetic Data of Foot, which states: “For plotting and comparison, the truncated foot length (the distance from the posterior aspect of the heel to the first metatarsal head) was used for normalization to obtain the normalized navicular height truncation (NNHt) as defined by Murley et al. [31]”

To improve readability and assist with understanding, we have slightly revised the introductory statement in the second paragraph of the Results section, which corresponds to Table 1. The revised statement now reads: “Moreover, Table 1 lists the calculated values of ten subjects’ average arch stiffness in these three periods, along with their sex, mass, truncated foot length, normalized static arch height and maximum arch displacement.”

3. In figure 4 description text, “The slopes of the three fitting lines were 0.124 kN/mm (Root Mean Square Error (RMSE)=1.589%) for the beginning of the heel contact phase, 0.0074 kN/mm (RMSE=0.211%) for the the plantar contact phase, and 0.038 kN/mm (RMSE=0.973%) for the end of the push-off phase”. While in the figure picture, it was marked with the 0.0074kN/mm(RMSE=0.217). Is this a typo?

Response 3: Thanks for your careful review and comments. This is a typo. We apologize for our mistake. We have made changes to the corresponding Figure 4 description text: “The slopes of the three fitting lines were 0.124 kN/mm (Root Mean Square Error (RMSE)=1.589%) for the beginning of the heel contact phase, 0.0074 kN/mm (RMSE=21.7%) for the plantar contact phase, and 0.038 kN/mm (RMSE=0.973%) for the end of the push-off phase”.

Response to Reviewer # 2

This paper proposes a multi-segment foot model to explore the forces on the foot arch and the variation of the foot arch linear stiffness during walking gait. The study has certain value, but there are still some issues that need to be addressed.

Thank you for your thorough review of this manuscript and for the time and effort you have invested in reviewing. This manuscript has been fully revised according to your professional suggestions.

1. How is the foot arch height calculated in the three phases of the stance phase?

Response 1: We appreciate your careful review and valuable comments. In fact, the method for calculating foot arch height remains consistent across the three phases of the stance phase. As stated in Section Kinematic and Kinetic Data of Foot, on page 5, in the last paragraph: “As noted in Fig. 2(b), the navicular height was defined as the height of the arch of each participant.”

Fig.2 (a) The layout of the experimental site with a 10-infrared camera motion capture system and two force plates. (b) The location of the six markers at one foot and the definition of arch height. (c) The definition of MTPJ angle.

To enhance readability and facilitate understanding, we have added further clarification after that text: “After projecting the coordinates of all markers onto the proposed 2D plane, the foot arch height was calculated as the distance from the navicular bone marker to the line formed by the markers on the calcaneus and the first metatarsal head.”

2. Validating the accuracy of the proposed model is crucial. This section needs to be added.

Response 2: Thank you for your critical comments. Like many other studies on foot arch stiffness [1-5], the model presented in this paper is designed to calculate, or estimate, the load on the foot arch. It is important to clarify that, similar to the reason why these references lack model accuracy validation, the absence of such validation in this study is not due to a lack of awareness of its importance. As mentioned in the paper, measuring the load on the foot arch in vivo during walking is extremely challenging. Additionally, using modeling software such as OpenSim for indirect calculations to validate the accuracy of our proposed model would be tangential to the main focus of this study.

This explains why it is difficult to validate our model through direct experimental measurements or software simulations. Therefore, we can only validate the model’s accuracy as best as possible by comparing the dynamic stiffness of the foot arch calculated by our model with results from existing studies. This serves as the accuracy validation section for our model. This approach is also the method used by D. A. Bruening et al. (2012, doi: 10.1016/j.gaitpost.2011.10.363) [6] in their study to validate model accuracy. The parameters selected for comparison include: the trend of changes in dynamic stiffness and the range of results. Moreover, we also calculate the coefficient of determination (R²) between the force-displacement (or moment-angle) curves of the foot arch in previous studies and our work. The comparison of the trend in dynamic stiffness variation and the R² results represent the similarity in the variation of foot arch dynamic stiffness between this study and previous studies. The comparison of stiffness result ranges reflects the validity of the results in this study.

In the revised manuscript, we have made the following improvements:

We added this clarification in Abstract: “By comparing the foot arch stiffness results with those from previous studies, the accuracy of the proposed model is indirectly validated.”

We also added this sentence in the last paragraph of Section Introduction: “Comparing the foot arch stiffness results with those from previous studies provides indirect validation of the accuracy of the proposed model.”

Most importantly, we added a new Subsection Model Accuracy Validation Protocol in the end of Section Materials and methods:

“It is crucial to validate the accuracy of the proposed multi-segment foot model. The model established in this paper aims to calculate, or estimate, the load on the foot's arch. However, measuring the load on the foot arch during walking is highly challenging, and there is currently no standard protocol to validate the accuracy of foot biomechanics models. In this study, we validate the accuracy of our model by comparing the calculated dynamic stiffness of the foot arch with results from existing studies, including quasi-dynamic, dynamic, linear stiffness, and rotational stiffness studies. This comparison serves as the model validation method, similar to the approach used by Bruening et al. (2012) [23]. The parameters selected for comparison include: the trend of changes in dynamic stiffness and the range of results. Moreover, we also calculate the coefficient of determination (R²) between the force-displacement (or moment-angle) curves of the foot arch in previous studies and our work. The comparison of the trend in dynamic stiffness variation and the R² results represent the similarity in the variation of foot arch dynamic stiffness between this study and previous studies. The comparison of stiffness result ranges reflects the validity of the results in this study.

Data from the force-displacement (or moment-angle) curves of the foot arch in previous studies were extracted using image data extraction software. These data were then compared with the results of this study. After aligning the data points through interpolation and scaling the values, the coefficient of determination (R²) was calculated using standard statistical formulas to assess the similarity in the variation of foot arch stiffness. Quasi-dynamic and static foot measurement studies will be excluded from the comparison of the trend in dynamic stiffness variation and R² calculation. Studies with stiffness results in different units from this study will be excluded from the comparison of result ranges.”

In the Section Results, we also added a Table and a paragraph:

“Table 2 presents the results of the model accuracy validation, comparing the trend and range of dynamic stiffness variation calculated by the model proposed in this study with those from previous studies, as well as calculating the coefficient of determination (R²) between the force-displacement (or moment-angle) curves of the foot arch to characterize the similarity.”

“As shown in Table 2, for studies with stiffness results in the same units as those defined in this study, the range of foot arch stiffness is generally between 0 and 0.2 kN/mm, which is consistent with the results of this study. For studies with different units but also calculating dynamic stiffness variations, the stiffness variation trends are largely consistent when viewed from the force/displacement curves. These studies all exhibit stiffness during the heel contact phase, compliance during the plantar contact phase, a sudden increase in stiffness, and compliance during the push-off phase. The R² values from curve comparisons indicate that these results all have R² values above 0.6, with the highest reaching 0.88. These comparative results support the validity of the model proposed in this study.”

Finally, we stated the limitation of our lack of complete model accuracy validation in the end of Section Discussion: “Finally, due to the lack of practical methods for measuring foot arch loads, the model accuracy validation in this study is incomplete. This limitation arises because the proposed model is specifically designed to calculate foot arch loads and cannot provide other mechanical quantities.” and the potential future work regarding it: “Prospects also includes the potential to enhance the model by adding complexity, allowing for the calculation of other easily measurable physical quantities, thereby improving the accuracy validation method.”

3. What is the difference between calculating foot arch variation using foot arch angle changes versus using foot arch height changes?

Response 3: We appreciate your professional comments. In a more general perspective, foot arch angle changes give insight into the angular geometry and alignment of the arch, while foot arch height changes directly measure the vertical displacement, providing a more tangible understanding of how the arch behaves under different conditions [7-9]. In clinical settings, measuring arch height can be more informative for diagnosing conditions like flat feet or assessing foot func

Attachment

Submitted filename: Response to Reviewers.pdf

pone.0320156.s001.pdf (424.5KB, pdf)

Decision Letter 1

Fei Yan

14 Feb 2025

A Phase Division-Based Multi-Segment Foot Model for Estimating Dynamic Foot Arch Stiffness During Walking

PONE-D-24-51122R1

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Acceptance letter

Fei Yan

PONE-D-24-51122R1

PLOS ONE

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Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Supplementary Materials

    Attachment

    Submitted filename: Response to Reviewers.pdf

    pone.0320156.s001.pdf (424.5KB, pdf)

    Data Availability Statement

    Data cannot be shared publicly because of legal and ethical concerns. Data are available from the Medical Ethics Committee of the School of Biomedical Engineering and Instrument Science, Zhejiang University (contact via e-mail: huacow@zju.edu.cn) for researchers who meet the criteria for access to confidential data.


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