dc.contributor.author | Sayin, Alaattin | |
dc.contributor.author | ORHAN, Elif Kocasoy | |
dc.contributor.author | Baslo, Mehmet Barış | |
dc.contributor.author | Arslan, Yunus Ziya | |
dc.contributor.author | Gundogdu, Umut | |
dc.contributor.author | Akan, Aydin | |
dc.date.accessioned | 2021-03-02T21:35:06Z | |
dc.date.available | 2021-03-02T21:35:06Z | |
dc.identifier.citation | Arslan Y. Z. , Gundogdu U., Sayin A., Akan A., ORHAN E. K. , Baslo M. B. , "Evaluation of the fatigue in human arms via electromyography signals", IEEE 14th Signal Processing and Communications Applications, Antalya, Türkiye, 16 - 19 Nisan 2006, ss.148-149 | |
dc.identifier.other | vv_1032021 | |
dc.identifier.other | av_07d0c7c9-9277-40ec-98e8-cd14fac78d7e | |
dc.identifier.uri | http://hdl.handle.net/20.500.12627/11061 | |
dc.identifier.uri | https://doi.org/10.1109/siu.2006.1659864 | |
dc.description.abstract | Muscle fatigue and early tiredness are among the common findings of. many conditions that affect neural and muscular systems. Quantitative measurement of muscle fatigue and its possible result, tiredness may provide an objective criterion for the follow-up and observation of the patient's treatment stages. In this work, a method is presented to evaluate the muscle fatigue in human arms by using surface electromyography (EMG) signals. EMG signals are recorded from two muscles during isometric contraction under constant force values, from eleven healthy subjects. Then, features that are capable of characterizing the EMG signals are extracted. Alternative to the previous methods in the literature using median frequency, behavior of EMG signals is characterized by higher order statistical moments. Preliminary results show that this approach may be a valuable contribution to EMG signal-muscle fatigue research. | |
dc.language.iso | eng | |
dc.subject | Klinik Tıp | |
dc.subject | Klinik Tıp (MED) | |
dc.subject | Sağlık Bilimleri | |
dc.subject | Bilgi Sistemleri, Haberleşme ve Kontrol Mühendisliği | |
dc.subject | Sinyal İşleme | |
dc.subject | Bilgisayar Bilimleri | |
dc.subject | Algoritmalar | |
dc.subject | Mühendislik ve Teknoloji | |
dc.subject | BİLGİSAYAR BİLİMİ, YAPAY ZEKA | |
dc.subject | Mühendislik | |
dc.subject | Tıp | |
dc.subject | GÖRÜNTÜLEME BİLİMİ VE FOTOĞRAF TEKNOLOJİSİ | |
dc.subject | MÜHENDİSLİK, ELEKTRİK VE ELEKTRONİK | |
dc.subject | Mühendislik, Bilişim ve Teknoloji (ENG) | |
dc.subject | Bilgisayar Bilimi | |
dc.title | Evaluation of the fatigue in human arms via electromyography signals | |
dc.type | Bildiri | |
dc.contributor.department | İstanbul Üniversitesi , , | |
dc.contributor.firstauthorID | 65282 | |