Publication2024
Sleep arousal detection for monitoring of sleep disorders using one-dimensional convolutional neural network-based U-Net and bio-signals
The record
- Type
- Publication
- Date
- 5 September 2024
- Level
- National
- Journal
- Data Technologies and Applications
- Volume
- 58
- Issue
- 4
- Pages
- 575-589
- Published
- 5 September 2024
- DOI
- 10.1108/dta-07-2023-0302
- Scopus ID
- 85182214799
- ISSN
- 25149288
- Authors
- 2
- Open access
- No
- Citations
- 8
- International co-authorship
- No
- Co-author countries
- IN
Classification
Every label below carries the reasoning it was assigned on, the confidence band it was assigned in, and what produced it. The rubric is published.
UN Sustainable Development Goals
3 Ensure healthy lives and promote well-being for all at all ages
Machine learning method using CNN-based U-Net achieves automated sleep arousal detection with 94.6% AUC performance, directly supporting sleep disorder diagnosis and patient health outcomes.
- High confidence
- The subject matter is a strong and direct inference from the record type, the funding or organising body, or the programme context, even where the title alone is thin. Example: an ICMR-funded project against SDG 3, on the strength of the agency.
- Judged
- Judged against the published classification rubric, under the rubric and prompt versions recorded with the run that produced it.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-1.2 Health and well-being
Development of automated diagnostic tool for sleep disorders using deep learning improves health monitoring capability and contributes to mental health improvement.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Each label above carries the instrument and the version that produced it. How each classification is reached.
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- 1
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Citing this record
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KIIT Deemed to be University. “Sleep arousal detection for monitoring of sleep disorders using one-dimensional convolutional neural network-based U-Net and bio-signals”. Kortex.