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A double-layered fully automated insomnia identification model employing synthetic data generation using MCSA and CTGAN with single-channel EEG signals

Crossref DOI link: https://doi.org/10.1038/s41598-024-74706-9

Published Online: 2024-10-08

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Philip Mulamoottil, Steffi https://orcid.org/0000-0002-5502-2122
Vigneswaran, T. https://orcid.org/0000-0002-0478-6739
Funding

Funding for this research was provided by:

Vellore Institute of Technology, Chennai
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Text and Data Mining valid from 2024-10-08

Version of Record valid from 2024-10-08
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Article History

Received: 19 March 2024

Accepted: 27 September 2024

First Online: 8 October 2024

Declarations

:

: The authors declare no competing interests.

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