Selection of Neural Oscillatory Features for Human Stress Classification with Single Channel EEG Headset

A study on classification of psychological stress in humans using electroencephalography (EEG) is presented. The stress is classified using a correlation-based feature subset selection method that efficiently reduces the feature vector length. In this study, twenty-eight participants are involved by...

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Bibliografiska uppgifter
I publikationen:Biomed Res Int
Huvudupphovsmän: Umar Saeed, Sanay Muhammad, Anwar, Syed Muhammad, Majid, Muhammad, Awais, Muhammad, Alnowami, Majdi
Materialtyp: Artigo
Språk:Inglês
Publicerad: Hindawi 2018
Ämnen:
Research Article
Länkar:https://ncbi.nlm.nih.gov/pmc/articles/PMC6323535/
https://ncbi.nlm.nih.gov/pubmed/30671443
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2018/1049257
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