Surface electromyography can quantify temporal and spatial patterns of activation of intrinsic human foot muscles

Ferrari, E. and Cooper, G. and Reeves, N.D. and Hodson-Tole, E.F. (2018) Surface electromyography can quantify temporal and spatial patterns of activation of intrinsic human foot muscles. Journal of Electromyography and Kinesiology, 39. pp. 149-155. ISSN 1050-6411

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Abstract

Intrinsic foot muscles (IFM) are a crucial component within the human foot. Investigating their functioning can help understand healthy and pathological behaviour of foot and ankle, fundamental for everyday activities. Recording muscle activation from IFM has been attempted with invasive techniques, mainly investigating single muscles. Here we present a novel methodology, to investigate the feasibility of recording physiological surface EMG (sEMG) non-invasively and quantify patterns of activation across the whole plantar region of the foot. sEMG were recorded with a 13 × 5 array from the sole of the foot (n = 25) during two-foot stance, two-foot tiptoe and anterior/posterior sways. Physiological features of sEMG were analysed. During anterior/posterior epochs within the sway task, sEMG patterns were analysed in terms of signal amplitude (intensity) and structure (Sample Entropy) distribution, by evaluating the centre of gravity (CoG) of each topographical map. Results suggest signals are physiological and not affected by loading. Both amplitude and sample entropy CoG coordinates were grouped in one region and overlapped, suggesting that the region with highest amplitude corresponds with the most predictable signal. Therefore, both spatial and temporal features of IFM activation may be recorded non-invasively, providing opportunity for more detailed investigation of IFM function in healthy and patient populations.

Item Type:
Journal Article
Journal or Publication Title:
Journal of Electromyography and Kinesiology
Uncontrolled Keywords:
Research Output Funding/yes_externally_funded
Subjects:
?? yes - externally fundedclinical neurologybiophysicsneuroscience (miscellaneous) ??
ID Code:
226279
Deposited By:
Deposited On:
10 Dec 2024 10:20
Refereed?:
Yes
Published?:
Published
Last Modified:
10 Dec 2024 10:20