Version 1
: Received: 30 June 2024 / Approved: 1 July 2024 / Online: 1 July 2024 (11:18:11 CEST)
How to cite:
Pradon, D.; Tong, L.; Chalitsios, C.; Roche, N. Development of a surface EMG for gait analysis and rehabilitation of hemiparetic. Preprints2024, 2024070021. https://doi.org/10.20944/preprints202407.0021.v1
Pradon, D.; Tong, L.; Chalitsios, C.; Roche, N. Development of a surface EMG for gait analysis and rehabilitation of hemiparetic. Preprints 2024, 2024070021. https://doi.org/10.20944/preprints202407.0021.v1
Pradon, D.; Tong, L.; Chalitsios, C.; Roche, N. Development of a surface EMG for gait analysis and rehabilitation of hemiparetic. Preprints2024, 2024070021. https://doi.org/10.20944/preprints202407.0021.v1
APA Style
Pradon, D., Tong, L., Chalitsios, C., & Roche, N. (2024). Development of a surface EMG for gait analysis and rehabilitation of hemiparetic. Preprints. https://doi.org/10.20944/preprints202407.0021.v1
Chicago/Turabian Style
Pradon, D., Christos Chalitsios and Nicolas Roche. 2024 "Development of a surface EMG for gait analysis and rehabilitation of hemiparetic" Preprints. https://doi.org/10.20944/preprints202407.0021.v1
Abstract
Background : The quantification of electromyographic activity using surface electrodes is inval-uable for understanding gait disorders in patients with central nervous system lesions. We propose to evaluate a commercially available low-cost system compared to a reference system in partic-ipants with stroke-related movement disorders in functional situations.
Methods : Three hemiparetic participants performed three functional tasks: two treadmill walks at different speeds and a sit-to-stand test. The vastus lateralis and gastrocnemius medialis muscles were equipped with two EMG sensors. The comparison between the two EMG systems was based on 883 identified cycles. Spearman’s correlation coefficients (SC), linear correlation coefficients (LCC), and cross-correlation coefficients (CCC) were calculated.
Results : The main results indicate good to very good similarity of the EMG signals collected from the two tested sEMG systems. In the comfortable walking condition, an SC of 0.894±0.091 and an LCC of 0.909±0.094 were noted. In the fast walking condition, an SC of 0.918±0.064 and an LCC of 0.935±0.056 were observed. For the 1-minute sit-to-stand test an SC of 0.880±0.058 and an LCC of 0.881±0.065 were noted.
Conclusions : This study demonstrates good to very good similarity between the two sEMG systems, enabling the analysis of muscle activity during functional tasks.
Keywords
EMG; Validation; Stroke; Gait; Gait
Subject
Engineering, Bioengineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
