An Intelligent Motor Imagery Detection System Using Electroencephalography with Adaptive Wavelets

Classification of motor imagery (MI) tasks provides a robust solution for specially-abled people to connect with the milieu for brain-computer interface. Precise selection of uniform tuning parameters of tunable Q wavelet transform (TQWT) for electroencephalography (EEG) signals is arduous. Therefor...

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Detalles Bibliográficos
Autores principales: Khare, Smith K., Gaikwad, Nikhil, Bokde, Neeraj Dhanraj
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9657151/
https://www.ncbi.nlm.nih.gov/pubmed/36365824
http://dx.doi.org/10.3390/s22218128

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9657151/
https://www.ncbi.nlm.nih.gov/pubmed/36365824
http://dx.doi.org/10.3390/s22218128

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