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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Bibliographic Details

Published in:	2018 IEEE Third Ecuador Technical Chapters Meeting (ETCM) pp. 1 - 6
Main Authors:	Asanza, Victor, Pelaez, Enrique, Loayza, Francis, Mesa, Iker, Diaz, Javier, Valarezo, Edwin
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.10.2018
Subjects:	Butterworth Filter Clustering algorithms DBSCAN Electrodes Electromyography Fast Fourier Transform Feature extraction Gaussian distribution Hierarchical-Clustering K-means Muscles Task analysis
Online Access:	Get full text
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