Skip to main content
. 2020 Oct 2;11:573616. doi: 10.3389/fneur.2020.573616

Table 2.

Survey items that reached consensus.

Survey items Agreed (%)
1. sEMG is more frequently employed in technical/methodological research than clinical research. 29/35 (83)
2. sEMG provides information on neuromuscular function that is not provided by other assessment techniques/tools in neurorehabilitation. 32/35 (91)
3. Practical utility of sEMG in clinical neurorehabilitation. sEMG information on neuromuscular activation may:
   Enhance the assessment and characterization of neuromuscular impairments in patients 32/34 (94)
   Influence the intervention plan design 28/33 (85)
   Allow to better track the changes in muscle activity from baseline when neurorehabilitation interventions are administered 32/34 (94)
   Allow to evaluate the effects of non-invasive interventions designed to impact muscle activity (such as therapeutic exercise, orthotics, medication, physical agents, manual therapy techniques) 32/25 (91)
   Allow to evaluate the effects of invasive interventions designed to impact muscle activity (such as surgery and neuromuscular blocks) 30/34 (88)
   Be employed as biofeedback training if the clinician identifies abnormal patterns of muscle activity that may be modified through motor learning 30/34 (88)
4. Role of sEMG in patient's assessment—sEMG may be useful to:
   Outline the sequential timing of muscular actions during given movements (i.e., gait, motor tasks) 35/35 (100)
   Evaluate the appropriateness of the activation among muscles participating to a specific movement (muscle/balance/imbalance/synergy/function) 34/35 (97)
   Characterize the stretch reflex 28/35 (80)
   Characterize muscular hyperactivity (e.g., spasticity, spastic co-contraction, spastic dystonia) 26/33 (79)
5. Utility of sEMG in the definition of an intervention plan - sEMG may be useful when there is need to investigate or quantify: Abnormalities in the sequential timing of muscular actions during given movements (i.e., gait, motor tasks)
   Muscle imbalance/dyssynergia 26/33 (79)
   Muscular hyperactivity (e.g., spasticity, spastic co-contraction, spastic dystonia) 25/32 (78)
6. If a therapeutic intervention is administered, sEMG information may prove useful to track changes from baseline in:
   Sequential timing of muscular actions during given movements (i.e., gait, motor tasks) 31/35 (89)
   Involuntary muscle activation (e.g., dystonia, ataxia) 24/32 (75)
7. sEMG assessment can be performed as a stand-alone technique or to complement/optimize other methods used by neurorehabilitation professionals to quantify muscle and physical function. It seems useful adding sEMG to:
   Gait/motion analysis (with or without motion capture) 35/35 (100)
   Hyperactivity/Spasticity/muscle tone assessment 29/34 (85)
   Accelerometry 25/31 (81)
   Stretch reflex 26/34 (76)
8. sEMG, when used as biofeedback, may help to:
   Learn how to change the coordination pattern of an agonist with respect to antagonists and synergists (muscle selectivity) 30/33 (91)
   Learn how to decrease the activity of overly tense and/or involuntarily hyperactive muscles 29/33 (88)
   Learn how to increase the activity of weak and/or hypoactive muscles 29/32 (91)
9.* Professional figure who is most frequently involved in sEMG recordings:
   Biomedical engineer with a focus on instrumentation, e-health, and rehabilitation Ranked 1st
   Physiotherapist Ranked 2nd
   Kinesiologist/human motion scientist Ranked 3rd
10. Professional figures involved in sEMG signal acquisition, processing, and quality control:
   Biomedical engineer with a focus on instrumentation, E-health, and Rehabilitation 31/34 (91)
   Kinesiologist/human motion scientist 27/34 (79)
11. Professional figures involved in sEMG interpretation:
   Kinesiologist/human motion scientist 27/33 (82)
   Clinical neurophysiologist 26/32 (81)
   Physical Medicine and Rehabilitation physician, also known as physiatrist 25/32 (78)
   Biomedical engineer with a focus on instrumentation, e-health, and rehabilitation 25/33 (76)
   Physiotherapist 24/32 (75)
12. Greater qualification of neurorehabilitation professionals on sEMG would contribute to improve the quality of neurorehabilitation care delivery 28/35 (80)
13. Years of practice/experience with sEMG techniques needed to qualify for providing education and training on the use of sEMG to clinical neurorehabilitation professionals:
   <1 year: very inadequate 29/32 (91)
   >5 years: very adequate 25/29 (86)
14. In addition to basic know-how on sEMG recording (i.e., correct placement of electrodes, adequate skin preparation, etc.), further technical skills are needed:
Ability to recognize and filter out artifacts at the skin-electrode interface 32/35 (91)
   Ability to choose the processing technique that is most appropriate for a given application 30/35 (86)
15. EMG-derived variables considered of utmost importance for clinical applications in neurorehabilitation:
   Timing of muscle activations and their variability 34/34 (100)
   Amplitude estimators (i.e., average rectified value, root mean square) 28/35 (80)
   Signal quality/reliability indicators (e.g., artifact reporting) 26/34 (77)
   Envelope time course 25/33 (76)
16. In addition to knowledge on physiological and non-physiological factors that influence sEMG, neurorehabilitation professionals need further competencies to interpret sEMG:
   Knowledge about sEMG patterns of recruitment in the main central and peripheral neuromuscular disorders 33/34 (97)
   Knowledge about the use of sEMG to assess muscular hyperactivity 31/33 (94)
   Knowledge about sEMG patterns of recruitment of healthy individuals 31/34 (91)
   Knowledge about the pathologies that affect muscle fiber conduction velocity 23/30 (77)
17.* Work environment most likely to favor the usage of sEMG:
   Privately operated clinic (with public or insurance-based reimbursement) Ranked 1st
   Publicly operated clinic (with either public or insurance-based reimbursement) Ranked 2nd
Privately operated clinic (out-of-pocket) Ranked 3rd
18. Potential barriers to the employment of sEMG in clinical neurorehabilitation:
   sEMG data analysis/interpretation difficult to perform without specific education/training 32/33 (97)
   Inadequate education for professionals in neurorehabilitation 30/34 (88)
   Lack of widely accepted evidence that the use of sEMG improves treatment effectiveness 26/34 (77)
   Inadequate education and training on sEMG in graduation courses 27/34 (79)
   Time-consuming 26/34 (77)
*

Questions were presented as ranking items, with ranking reported in the table only for the first three items.