A novel machine learning algorithm for finger movement classification from surface electromyogram signals using welch power estimation

Electromyogram (EMG) signal monitoring is an effective method for controlling the movements of a prosthetic limb. The classification of the EMG pattern of various finger motions in upper-arm amputees has drawn much attention in recent years to develop algorithms that provide adequate accuracy. Howev...

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Bibliografische Detailangaben

Hauptverfasser:	Afroza Sultana, Md Tawhid Islam Opu, Farruk Ahmed, Md Shafiul Alam
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Elsevier 2024-06-01
Schriftenreihe:	Healthcare Analytics
Schlagworte:	Machine learning Electromyogram Welch power estimation Classification Finger movements
Online-Zugang:	http://www.sciencedirect.com/science/article/pii/S2772442523001636
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