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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Detalles Bibliográficos
Autores principales: Wen Yean, Choong, Wan Ahmad, Wan Khairunizam, Mustafa, Wan Azani, Murugappan, Murugappan, Rajamanickam, Yuvaraj, Adom, Abdul Hamid, Omar, Mohammad Iqbal, Zheng, Bong Siao, Junoh, Ahmad Kadri, Razlan, Zuradzman Mohamad, Bakar, Shahriman Abu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7601112/
https://www.ncbi.nlm.nih.gov/pubmed/32992930
http://dx.doi.org/10.3390/brainsci10100672

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7601112/
https://www.ncbi.nlm.nih.gov/pubmed/32992930
http://dx.doi.org/10.3390/brainsci10100672

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