Detection of emotions in Parkinson's disease using higher order spectral features from brain's electrical activity
Disgust
Sadness
Surprise
DOI:
10.1016/j.bspc.2014.07.005
Publication Date:
2014-08-01T05:31:24Z
AUTHORS (7)
ABSTRACT
Non-motor symptoms in Parkinson's disease (PD) involving cognition and emotion have been progressively receiving more attention in recent times. Electroencephalogram (EEG) signals, being an activity of central nervous system, can reflect the underlying true emotional state of a person. This paper presents a computational framework for classifying PD patients compared to healthy controls (HC) using emotional information from the brain's electrical activity.
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