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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Detalles Bibliográficos
Autores principales: Anastasiev, Alexey, Kadone, Hideki, Marushima, Aiki, Watanabe, Hiroki, Zaboronok, Alexander, Watanabe, Shinya, Matsumura, Akira, Suzuki, Kenji, Matsumaru, Yuji, Ishikawa, Eiichi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10376258/
https://www.ncbi.nlm.nih.gov/pubmed/37508895
http://dx.doi.org/10.3390/bioengineering10070866

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10376258/
https://www.ncbi.nlm.nih.gov/pubmed/37508895
http://dx.doi.org/10.3390/bioengineering10070866

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