Fuzzy EMG classification for prosthesis control

Proposes a fuzzy approach to classify single-site electromyograph (EMG) signals for multifunctional prosthesis control. While the classification problem is the focus of this paper, the ultimate goal is to improve myoelectric system control performance, and classification is an essential step in the...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE transactions on rehabilitation engineering Jg. 8; H. 3; S. 305 - 311
Hauptverfasser:	Chan, F.H.Y., Yong-Sheng Yang, Lam, F.K., Yuan-Ting Zhang, Parker, P.A.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.09.2000
Schlagworte:	Algorithms Artificial Limbs Artificial neural networks Backpropagation Bias Cluster Analysis Clustering algorithms Control systems Delay Electric Stimulation Therapy - methods Electromyography Electromyography - classification Electromyography - methods Electrophysiology Feedback Fuzzy control Fuzzy Logic Fuzzy systems Humans Neural networks Neural Networks (Computer) Pattern recognition Prosthetics Signal Processing, Computer-Assisted Software Validation Time Factors
ISSN:	1063-6528
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!