A study on multi-class anxiety detection using wearable EEG headband
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Computer Science
Link
https://link.springer.com/content/pdf/10.1007/s12652-021-03249-y.pdf
Reference44 articles.
1. Adam A, Shapiai MI, Mohd Tumari MZ, Mohamad MS, Mubin M (2014) Feature selection and classifier parameters estimation for EEG signals peak detection using particle swarm optimization. Sci World J 2014:1–13
2. Arsalan A, Majid M, Butt AR, Anwar SM (2019b) Classification of perceived mental stress using a commercially available EEG headband. IEEE J Biomed Health Inform 23(6):2257–2264
3. Arsalan A, Majid M, Anwar SM (2019a) Electroencephalography based machine learning framework for anxiety classification. In: International conference on intelligent technologies and applications. Springer, pp 187–197
4. Asif A, Majid M, Anwar SM (2019) Human stress classification using EEG signals in response to music tracks. Comput Biol Med 107:182–196
5. Association AP et al (2013) Diagnostic and statistical manual of mental disorders (DSM-5®). American Psychiatric Pub 5:1–947
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