Sliding Window along with EEGNet based Prediction of EEG Motor Imagery

The need for repeated calibration and accounting for inter subject variability is a major challenge for the practical applications of a brain-computer interface. The problem becomes more severe when it is applied for the neurorehabilitation of stroke patients where the brain-activation pattern may d...

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Veröffentlicht in:	IEEE sensors journal 2023-08, Vol.23 (15), p.1-1
Hauptverfasser:	Saideepthi, Pabba, Gaur, Pramod, Chowdhury, Anirban, Nyati, Keshav, Dwivedi, Tanmay, Sharma, Shivam, Pachori, Ram Bilas
Format:	Artikel
Sprache:	eng
Schlagworte:	Brain-computer interface CNN Datasets Deep learning EEG EEGNet Human-computer interface Imagery Machine learning motor-imagery neurorehabilitation Rehabilitation Sliding Stroke Support vector machines
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