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Perez-Valero et al., 2021 - Google Patents

EEG-based multi-level stress classification with and without smoothing filter

Perez-Valero et al., 2021

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Document ID
18015928870951181606
Author
Perez-Valero E
Lopez-Gordo M
Vaquero-Blasco M
Publication year
Publication venue
Biomedical Signal Processing and Control

External Links

Snippet

Recently, multi-level stress assessment has become an active research subject. In this context, researchers typically develop models based on machine learning classifiers and features extracted from biosignals like electrocardiogram (ECG) or electroencephalogram …
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Classifications

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    • A61B5/16—Devices for psychotechnics; Testing reaction times; Devices for evaluating the psychological state
    • A61B5/165—Evaluating the state of mind, e.g. depression, anxiety
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/04—Detecting, measuring or recording bioelectric signals of the body of parts thereof
    • A61B5/0476—Electroencephalography
    • A61B5/0484—Electroencephalography using evoked response
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