EMG Signal Processing with Clustering Algorithms for motor gesture Tasks

Recent research shows the possibility of using electromyography (EMG) electrical signals to control devices or prosthesis. The EMG signals are measured in muscles, such as the forearm. These signals can lead to determine the intentionality of the patient when performing any motor tasks, however the...

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Vydané v:	2018 IEEE Third Ecuador Technical Chapters Meeting (ETCM) s. 1 - 6
Hlavní autori:	Asanza, Victor, Pelaez, Enrique, Loayza, Francis, Mesa, Iker, Diaz, Javier, Valarezo, Edwin
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.10.2018
Predmet:	Butterworth Filter Clustering algorithms DBSCAN Electrodes Electromyography Fast Fourier Transform Feature extraction Gaussian distribution Hierarchical-Clustering K-means Muscles Task analysis
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