EEG-based BCI system for decoding finger movements within the same hand

• Published in: Neuroscience letters Vol. 698; pp. 113 - 120
• Main Authors: Alazrai, Rami, Alwanni, Hisham, Daoud, Mohammad I.
• Format: Journal Article
• Language: English
• Published: Ireland Elsevier B.V 17.04.2019
• Subjects: Adult; Algorithms; Brain-Computer Interfaces; Brain–computer interfaces (BCIs); Electroencephalography (EEG); Electroencephalography - methods; Female; Finger movements; Fingers - physiology; Hand - physiology; Humans; Imagination - physiology; Male; Movement - physiology; Support vector machines; Time-frequency distribution; Young Adult; Support vector machines; Brain–computer interfaces (BCIs); Finger movements; Electroencephalography (EEG); Time-frequency distribution

•A new EEG-based BCI system is presented for decoding the movements of different fingers within the same hand.•The EEG signals were analyzed using a Quadratic time-frequency distribution, namely the Choi–Williams distribution (CWD).•A two-layer classification framework is developed to specify the mo...