An Intelligent Motor Imagery Detection System Using Electroencephalography with Adaptive Wavelets

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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Bibliographic Details
Main Authors: Smith K. Khare, Nikhil Gaikwad, Neeraj Dhanraj Bokde
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Sensors
Subjects:
electroencephalogram signals
intelligent system
evolutionary optimization algorithms
adaptive wavelets
Laplacian score
support vector classifiers
Online Access:https://www.mdpi.com/1424-8220/22/21/8128

Internet

https://www.mdpi.com/1424-8220/22/21/8128

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