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Validity and Reliability of Surface Electromyography Features in Lower Extremity Muscle Contraction in Healthy and Spinal Cord–Injured Participants
Author(s) -
Jordan Silverman,
Gustavo Balbinot,
Kei Masani,
José Zariffa,
P. Eng
Publication year - 2021
Publication title -
topics in spinal cord injury rehabilitation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.597
H-Index - 35
eISSN - 1945-5763
pISSN - 1082-0744
DOI - 10.46292/sci20-00001
Subject(s) - medicine , intraclass correlation , isometric exercise , physical medicine and rehabilitation , electromyography , spinal cord injury , physical therapy , reliability (semiconductor) , tibialis anterior muscle , spinal cord , skeletal muscle , anatomy , psychometrics , clinical psychology , power (physics) , physics , quantum mechanics , psychiatry
Background: Spinal cord injury (SCI) has a significant impact on motor control and active force generation. Quantifying muscle activation following SCI may help indicate the degree of motor impairment and predict the efficacy of rehabilitative interventions. In healthy persons, muscle activation is typically quantified by electromyographic (EMG) signal amplitude measures. However, in SCI, these measures may not reflect voluntary effort, and therefore other nonamplitude-based features should be considered. Objectives: The purpose of this study was to assess the correlation of time-domain EMG features with the exerted joint torque (validity) and their test-retest repeatability (reliability), which may contribute to characterizing muscle activation following SCI. Methods: Surface EMG (SEMG) and torque were measured while nine uninjured participants and four participants with SCI performed isometric contractions of tibialis anterior (TA) and soleus (SOL). Data collection was repeated at a subsequent session for comparison across days. Validity and test-retest reliability of features were assessed by Spearman and intraclass correlation (ICC) of linear regression coefficients. Results: In healthy participants, SEMG features correlated well with torque (TA: ρ > 0.92; SOL: ρ > 0.94) and showed high reliability (ICC mean = 0.90; range, 0.72-0.99). In an SCI case series, SEMG features also correlated well with torque (TA: ρ > 0.86; SOL: ρ > 0.86), and time-domain features appeared no less repeatable than amplitude-based measures. Conclusion: Time-domain SEMG features are valid and reliable measures of lower extremity muscle activity in healthy participants and may be valid measures of sublesional muscle activity following SCI. These features could be used to gauge motor impairment and progression of rehabilitative interventions or in controlling assistive technologies.

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