Empirical Myoelectric Feature Extraction and Pattern Recognition in Hemiplegic Distal Movement Decoding

Empirical Myoelectric Feature Extraction and Pattern Recognition in Hemiplegic Distal Movement Decoding

In myoelectrical pattern recognition (PR), the feature extraction methods for stroke-oriented applications are challenging and remain discordant due to a lack of hemiplegic data and limited knowledge of skeletomuscular function. Additionally, technical and clinical barriers create the need for robus...

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Bibliographic Details
Main Authors: Alexey Anastasiev, Hideki Kadone, Aiki Marushima, Hiroki Watanabe, Alexander Zaboronok, Shinya Watanabe, Akira Matsumura, Kenji Suzuki, Yuji Matsumaru, Eiichi Ishikawa
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Bioengineering
Subjects:
feature selection
pattern recognition
paresis
motor impairment
hand rehabilitation
upper extremity
Online Access:https://www.mdpi.com/2306-5354/10/7/866

Internet

https://www.mdpi.com/2306-5354/10/7/866

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