Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Mohamed R. Al-Mulla"'
Publikováno v:
Computers, Vol 4, Iss 3, Pp 251-264 (2015)
Surface electromyographic (sEMG) activity of the biceps muscle was recorded from 13 subjects. Data was recorded while subjects performed dynamic contraction until fatigue and the signals were segmented into two parts (Non-Fatigue and Fatigue). An evo
Externí odkaz:
https://doaj.org/article/9c7ec38968f142b2b3148dea46dc045a
Publikováno v:
Sensors, Vol 11, Iss 4, Pp 3545-3594 (2011)
Muscle fatigue is an established area of research and various types of muscle fatigue have been investigated in order to fully understand the condition. This paper gives an overview of the various non-invasive techniques available for use in automate
Externí odkaz:
https://doaj.org/article/6962224e19c646368d3e6ccef8b9dcb3
Publikováno v:
Sensors, Vol 11, Iss 2, Pp 1542-1557 (2011)
Muscle fatigue is an established area of research and various types of muscle fatigue have been clinically investigated in order to fully understand the condition. This paper demonstrates a non-invasive technique used to automate the fatigue detectio
Externí odkaz:
https://doaj.org/article/04977d5a3c8e4554bc50bb8a07df61f6
Publikováno v:
Sensors, Vol 10, Iss 5, Pp 4838-4854 (2010)
Surface Electromyography (sEMG) activity of the biceps muscle was recorded from ten subjects performing isometric contraction until fatigue. A novel feature (1D spectro_std) was used to extract the feature that modeled three classes of fatigue, which
Externí odkaz:
https://doaj.org/article/5bd5ceac06904f2a98bc7b848c30dd7a
Autor:
Mohamed R Al-Mulla
Publikováno v:
Automatic Control of Physiological State and Function.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b45c5dff16989bef2127b2c42e5a778d
https://doi.org/10.4172/2090-5092.1000e102
https://doi.org/10.4172/2090-5092.1000e102