Hybrid brain–computer interface for biomedical cyber-physical system application using wireless embedded EEG systems

Background One of the key challenges of the biomedical cyber-physical system is to combine cognitive neuroscience with the integration of physical systems to assist people with disabilities. Electroencephalography (EEG) has been explored as a non-invasive method of providing assistive technology by...

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Veröffentlicht in:	Biomedical engineering online Jg. 16; H. 1; S. 5
Hauptverfasser:	Chai, Rifai, Naik, Ganesh R., Ling, Sai Ho, Nguyen, Hung T.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London BioMed Central 07.01.2017 BioMed Central Ltd Springer Nature B.V
Schlagworte:	Adult Aged Aged, 80 and over Algorithms Biomaterials Biomedical Engineering and Bioengineering Biomedical Engineering/Biotechnology Biomedical Research - instrumentation Biotechnology Brain - physiology Brain - physiopathology Brain-Computer Interfaces Electroencephalography Electroencephalography - instrumentation Electrophysiological Phenomena Engineering Female Human-computer interaction Humans Male Middle Aged Spinal Cord Injuries - physiopathology Technology application Wireless Technology Electroencephalography Artificial neural network Embedded system Cyber physical system Brain–computer interface Hybrid system
ISSN:	1475-925X, 1475-925X
Online-Zugang:	Volltext
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