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SEMG Feature Extraction Based on Stockwell Transform Improves Hand Movement Recognition Accuracy

Feature extraction, as an important method for extracting useful information from surface electromyography (SEMG), can significantly improve pattern recognition accuracy. Time and frequency analysis methods have been widely used for feature extraction, but these methods analyze SEMG signals only fro...

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Principais autores: Haotian She, Jinying Zhu, Ye Tian, Yanchao Wang, Hiroshi Yokoi, Qiang Huang
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2019-10-01
Serier:Sensors
Fag:
surface emg signal
feature extraction
stockwell transform
hand movement recognition
Online adgang:https://www.mdpi.com/1424-8220/19/20/4457
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