An emotion assessment of stroke patients by using bispectrum features of EEG signals

An emotion assessment of stroke patients by using bispectrum features of EEG signals

Emotion assessment in stroke patients gives meaningful information to physiotherapists to identify the appropriate method for treatment. This study was aimed to classify the emotions of stroke patients by applying bispectrum features in electroencephalogram (EEG) signals. EEG signals from three grou...

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Bibliographic Details
Main Authors: Yean, Choong Wen, Wan Khairunizam Wan Ahmad, Wan Azani Mustafa, Murugappan, Murugappan, Rajamanickam, Yuvaraj, Abdul Hamid Adom, Mohammad Iqbal Omar, Zheng, Bong Siao, Ahmad Kadri Junoh, Zuradzman Mohamad Razlan, Shahriman Abu Bakar
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2021
Subjects:
Engineering::Electrical and electronic engineering
Emotion
Stroke
Online Access:https://hdl.handle.net/10356/146181
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Institution: Nanyang Technological University
Language: English

Internet

https://hdl.handle.net/10356/146181

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