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Detection of emotions in Parkinson's disease using higher order spectral features from brain's electrical activity

Yuvaraj, R., Murugappan, M., Ibrahim, Norlinah Mohamed, Sundaraj, Kenneth, Omar, Mohd Iqbal, Mohamad, Khairiyah, Palaniappan, Ramaswamy (2014) Detection of emotions in Parkinson's disease using higher order spectral features from brain's electrical activity. Biomedical Signal Processing and Control, 14 . pp. 108-116. ISSN 1746-8094. (doi:10.1016/j.bspc.2014.07.005)

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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.

Item Type: Article
DOI/Identification number: 10.1016/j.bspc.2014.07.005
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 75 Electronic computers. Computer science
Divisions: Faculties > Sciences > School of Computing > Data Science
Depositing User: Palaniappan Ramaswamy
Date Deposited: 15 Jul 2015 11:03 UTC
Last Modified: 29 May 2019 14:30 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/48275 (The current URI for this page, for reference purposes)
Palaniappan, Ramaswamy: https://orcid.org/0000-0001-5296-8396
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