Wireless evaluation of muscle abilities with Aging using CCA approach

The aging of the population is a major public health concern, according to World Health Organization (WHO, OMS), the proportion of people aged 60 and over will almost double between 2015 and 2025 [1], the effects of aging on the person are many; such as the loss of autonomy and increased risk of falling. This generates very important economic, social and psychological costs. Current clinical examinations are not accurate and robust enough to assess the motor status of older people. It is interesting to use new technologies to develop tools able to assess motor decline and to serve as an indicator in a prevention approach or in functional rehabilitation. The objective of our study is to exploit the technology of high - density surface electromyography (HD_sEMG), in order to evaluate the muscular activation in the population faced to aging by using wireless connected ambulatory equipment connected (TMSi) and Blind Source Separation (BSS) approach with Canonical Correlation Analysis (CCA) . Obtained results are promising and indicated a clear difference between the young tested subjects and the older one. Furthermore, the estimated sources seems to be sensitive to the anatomical and functional modifications with aging