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Classification of Upper Arm Movements from EEG signals using Machine Learning with ICA Analysis
[article]
2021
arXiv
pre-print
The Brain-Computer Interface system is a profoundly developing area of experimentation for Motor activities which plays vital role in decoding cognitive activities. Classification of Cognitive-Motor Imagery activities from EEG signals is a critical task. Hence proposed a unique algorithm for classifying left/right-hand movements by utilizing Multi-layer Perceptron Neural Network. Handcrafted statistical Time domain and Power spectral density frequency domain features were extracted and obtained
arXiv:2107.08514v1
fatcat:4aijbhssk5dejehq2uuvx4527e