A Hybrid Feature Pool-Based Emotional Stress State Detection Algorithm Using EEG Signals.
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ABSTRACT:
SUBMITTER: Hasan MJ
PROVIDER: S-EPMC6956373 | biostudies-literature | 2019 Dec
REPOSITORIES: biostudies-literature
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A Hybrid Feature Pool-Based Emotional Stress State Detection Algorithm Using EEG Signals.
Hasan Md Junayed MJ Kim Jong-Myon JM
Brain sciences 20191213 12
Human stress analysis using electroencephalogram (EEG) signals requires a detailed and domain-specific information pool to develop an effective machine learning model. In this study, a multi-domain hybrid feature pool is designed to identify most of the important information from the signal. The hybrid feature pool contains features from two types of analysis: (a) statistical parametric analysis from the time domain, and (b) wavelet-based bandwidth specific feature analysis from the time-frequen ...[more]
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