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Psychophysiology and Autonomic Responses Perspective for Advancing Hybrid Brain-Computer Interface Systems
R. K. Sinha,
G Prasad
School of Computing, Eng & Intel. Sys
Faculty Of Computing, Eng. & Built Env.
Research output
:
Contribution to journal
›
Article
›
peer-review
3
Citations (Scopus)
Overview
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Engineering
Autonomics
100%
Brain-Computer Interface
100%
Motor Imagery
100%
Biosignal
25%
Conventional Method
12%
Oxygen Consumption
12%
Skin Resistance
12%
Principal Feature
12%
Respiratory Rate
12%
Limitations
12%
Neuroscience
Brain-Computer Interface
100%
Near Infrared Spectroscopy
40%
Electroencephalogram
40%
Brain Areas
20%
Neurophysiology
20%
Cognitive Process
20%
Peripheral Nervous System
20%
Evoked Potential
20%
Functional Magnetic Resonance Imaging
20%
Metabolic Pathway
20%