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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Detalles Bibliográficos
Autores principales: She, Haotian, Zhu, Jinying, Tian, Ye, Wang, Yanchao, Yokoi, Hiroshi, Huang, Qiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6832976/
https://www.ncbi.nlm.nih.gov/pubmed/31615162
http://dx.doi.org/10.3390/s19204457

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6832976/
https://www.ncbi.nlm.nih.gov/pubmed/31615162
http://dx.doi.org/10.3390/s19204457

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