Pregled bibliografske jedinice broj: 581773
Estimation of Muscle Fatigue During Dynamic Contractions Based on Surface Electromyography and Accelerometry
Estimation of Muscle Fatigue During Dynamic Contractions Based on Surface Electromyography and Accelerometry // Proceedings of MIPRO 2012 - 35th International Convention on Information and Communication Technology, Electronics and Microelectronics
Opatija, Hrvatska, 2012. str. 207-211 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 581773 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Estimation of Muscle Fatigue During Dynamic Contractions Based on Surface Electromyography and Accelerometry
Autori
Jordanić, Mislav ; Magjarević, Ratko
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of MIPRO 2012 - 35th International Convention on Information and Communication Technology, Electronics and Microelectronics
/ - , 2012, 207-211
Skup
35th International Convention on Information and Communication Technology, Electronics and Microelectronics
Mjesto i datum
Opatija, Hrvatska, 21.05.2012. - 25.05.2012
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
muscle fatigue; surface electromyography (SEMG); accelerometer; movement detector; dynamic contractions
Sažetak
Common non-invasive measurements of muscle fatigue during dynamic contractions are based on the surface electromyography (SEMG). However, these measurements include movement artefacts such as the change of muscle length and the movement of electrodes. These artefacts significantly contribute to the non-stationary properties of the measured SEMG signal. Consequently, the measurements of the muscle fatigue employ various sensors and signal-processing methods. In this paper, we present a method for the estimation of the fatigue which uses an accelerometer to determine the SEMG segments within which the movement artefacts are resolved and the wide-sense stationarity holds. The fatigue is then estimated by the median frequencies of their power spectra. To illustrate the features of the proposed method, we apply it to the biceps curl exercise.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika
POVEZANOST RADA
Projekti:
036-0362979-1554 - Neinvazivna mjerenja i postupci u biomedicini (Tonković, Stanko, MZO ) ( CroRIS)
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb
Profili:
Ratko Magjarević
(autor)