Real-Time and Offline Evaluation of Myoelectric Pattern Recognition for the Decoding of Hand Movements

Pattern recognition algorithms have been widely used to map surface electromyographic signals to target movements as a source for prosthetic control. However, most investigations have been conducted offline by performing the analysis on pre-recorded datasets. While real-time data analysis (i.e., cla...

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Bibliographic Details
Published in:	Sensors (Basel, Switzerland) Vol. 21; no. 16; p. 5677
Main Authors:	Abbaspour, Sara, Naber, Autumn, Ortiz-Catalan, Max, GholamHosseini, Hamid, Lindén, Maria
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 2021 MDPI
Subjects:	Accuracy Amputation Built-in gains & losses Business metrics Chemistry Classification Control algorithms Discriminant analysis Electromyography Engineering Hand movement Instruments & Instrumentation Medical Engineering Medicinteknik Orthopaedics Ortopedi Pattern recognition Prostheses Real‐time signals Software Support vector machines Usability
ISSN:	1424-8220, 1424-8220
Online Access:	Get full text
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