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Moyeenudin et al., 2023 - Google Patents

Analysis of electroencephalographic signals to study the behavior of brain frequencies for the study of academic stress

Moyeenudin et al., 2023

Document ID
4048047081728703509
Author
Moyeenudin H
Hannah S
Anuradha T
Muthalagu R
Devi V
Anand A
Publication year
Publication venue
2023 2nd International Conference on Automation, Computing and Renewable Systems (ICACRS)

External Links

Snippet

The current study perform an analysis of electroencephalographic signals to study the behavior of brain frequencies in subjects who are under academic stress generated by a cognitive task, while listening to music or being silent. Creation of a corpus of more than 10 …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

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    • A61B5/0402Electrocardiography, i.e. ECG
    • A61B5/0452Detecting specific parameters of the electrocardiograph cycle
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    • A61B5/04Detecting, measuring or recording bioelectric signals of the body of parts thereof
    • A61B5/0476Electroencephalography
    • A61B5/0484Electroencephalography using evoked response
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    • A61B5/7264Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
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    • A61B5/053Measuring electrical impedance or conductance of a portion of the body
    • A61B5/0531Measuring skin impedance
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    • G06F19/00Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/30Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data

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