A novel framework for classification of two-class motor imagery EEG signals using logistic regression classification algorithm

Robotics and artificial intelligence have played a significant role in developing assistive technologies for people with motor disabilities. Brain-Computer Interface (BCI) is a communication system that allows humans to communicate with their environment by detecting and quantifying control signals...

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Veröffentlicht in:	PloS one Jg. 18; H. 9; S. e0276133
Hauptverfasser:	Khan, Rabia Avais, Rashid, Nasir, Shahzaib, Muhammad, Malik, Umar Farooq, Arif, Arshia, Iqbal, Javaid, Saleem, Mubasher, Khan, Umar Shahbaz, Tiwana, Mohsin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	San Francisco Public Library of Science 08.09.2023 Public Library of Science (PLoS)
Schlagworte:	Accuracy Algorithms Analysis Artificial intelligence Biology and Life Sciences Brain Brain research Classification Communications systems Competition Computer and Information Sciences Computer applications Datasets Decision analysis Decision trees Disabilities Discriminant analysis EEG Electroencephalography Engineering and Technology Evaluation Feature extraction Feature recognition Human-computer interface Image classification Implants Independent component analysis Literature reviews Logistic regression Medicine and Health Sciences Mental task performance Physical Sciences Preprocessing Regression Regression analysis Research and Analysis Methods Robotics Signal classification Support vector machines Pakistan
ISSN:	1932-6203, 1932-6203
Online-Zugang:	Volltext
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