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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Detalhes bibliográficos
Publicado no:Brain Sci
Main Authors: 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: Artigo
Idioma:Inglês
Publicado em: MDPI 2020
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Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7601112/
https://ncbi.nlm.nih.gov/pubmed/32992930
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/brainsci10100672
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