An effective zeros-time windowing strategy to detect sensorimotor rhythms related to motor imagery EEG signals

• Published in: IEEE access Vol. 8; p. 1
• Main Authors: Belwafi, Kais, Gannouni, Sofien, Aboalsamh, Hatim
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.01.2020; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Accuracy; Algorithms; Artificial neural networks; Brain-computer interface (BCI); Classification; Discriminant analysis; EEG-Zero-time windowing; Electroencephalography; electroencephalography (EEG); Feature extraction; Group-delay function; Human-computer interface; Image acquisition; motor imagery; Movement; People with disabilities; Spectral resolution; Standard error; Tracking; Window functions

Brain-computer interface (BCI) acquires, analyzes and transforms human brain activity to control commands allowing as such disabled people to communicate or control external devices. A motor imagery-based BCI enables patients to control artificial peripherals and communicate with the outside world b...