Ageing Effect Evaluation on HD-sEMG Signals Using CCA Approach - 15/07/21
, S. Boudaoud a, J. Laforêt a, K. Kinugawa b, cBienvenue sur EM-consulte, la référence des professionnels de santé.
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Abstract |
Objectives |
The objective of the proposed study is to exploit the technology of high-density surface electromyography (HD-sEMG), in order to evaluate the muscle activation in young and elderly subjects during a daily life gesture, namely, Sit To Stand (STS), using wireless connected ambulatory equipment (TMSi©) and Blind Source Separation (BSS) approach with Canonical Correlation Analysis (CCA).
Materials and methods |
Sixteen subjects participated (50% females) divided into two categories (‘H1’: young (30.62 yrs ±5.92, 23.95 kg/m2 ±3.08), versus ‘H2’: old (61.87 yrs ±7.98, 23.4 kg/m2 ±3.38)), in the recording of HD-sEMG signals, using 32-electrodes square grids (4×8), during Sit To Stand (STS) motion, three times at spontaneous speed. The studied muscle is the Rectus Femoris (RF) muscle. The recorded HD-sEMG signals were analyzed with CCA approach to extract correlation coefficient sets according to two age categories (young versus old), in order to evaluate its discriminating power with ageing. Statistical tests (t-test) were used to evaluate the discrimination for these two categories.
Results |
The calculation of CCA correlation coefficients showed a significant difference between young and old category concerning the mean CCA correlation coefficient (P<0.001***) and also the standard deviation of the CCA correlation coefficients (P<0.0001****).
Conclusion |
The obtained results are promising and indicate a clear difference between the obtained source variability using CCA method between the young and the old tested subjects during daily life motion. Furthermore, these estimated sources seem to be impacted by both anatomical and functional modifications with ageing.
Le texte complet de cet article est disponible en PDF.Graphical abstract |
Highlights |
• | Unhealthy ageing of the population generates very important costs. |
• | Clinical examinations are not accurate to assess functional muscle ageing. |
• | HD-sEMG technique has good potential for assessing muscle ageing. |
Keywords : HD-sEMG technique, CCA algorithm, Neuromuscular system, Age-related changes, Muscle ageing, Sarcopenia, Wireless medical device
Plan
Vol 42 - N° 4
P. 294-299 - août 2021 Retour au numéro
Article précédent
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- M. Arunraj, A. Srinivasan, S.P. Arjunan
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