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Can heart rate sequences from wearable devices predict day-long mental states in higher education students: a signal processing and machine learning case study at a UK university

Crossref DOI link: https://doi.org/10.1186/s40708-024-00243-w

Published Online: 2024-12-05

Published Print: 2024-12

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

Authors

Chen, Tianhua
Funding

Funding for this research was provided by:

Engineering and Physical Sciences Research Council
License Information

Text and Data Mining valid from 2024-12-01

Version of Record valid from 2024-12-05
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Article History

Received: 13 September 2024

Accepted: 14 November 2024

First Online: 5 December 2024

Declarations

:

: This research received the required ethical approval from the ethics committee of University of Huddersfield.

: Not applicable.

: The authors declare no competing interest.

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