EMG and ENG-envelope pattern recognition for prosthetic hand control

•A novel mathematical approach is proposed to process neural (ENG) signals.•ENG envelope is used to classify real neural data recorded from a human amputee.•A classification algorithm based on ENG envelope outperforms the spike sorting ones.•ENG envelope is computational efficient and can be used in...

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Veröffentlicht in:	Journal of neuroscience methods Jg. 311; S. 38 - 46
Hauptverfasser:	Noce, Emiliano, Dellacasa Bellingegni, Alberto, Ciancio, Anna Lisa, Sacchetti, Rinaldo, Davalli, Angelo, Guglielmelli, Eugenio, Zollo, Loredana
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Netherlands Elsevier B.V 01.01.2019
Schlagworte:	Algorithms Artificial Limbs Electromyography - methods EMG signals Hand - innervation Hand - physiopathology Humans Male Median Nerve - physiopathology Movement - physiology Muscle, Skeletal - innervation Muscle, Skeletal - physiopathology Neural signals Neuroprosthetics Pattern recognition Pattern Recognition, Automated - methods Signal Processing, Computer-Assisted Spike sorting Support Vector Machine Ulnar Nerve - physiopathology Neuroprosthetics Spike sorting Pattern recognition EMG signals Neural signals
ISSN:	0165-0270, 1872-678X, 1872-678X
Online-Zugang:	Volltext
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