Hybrid deep learning for IoT-based health monitoring with physiological event extraction
All these enhancements constitute a major step towards improving the IoT healthcare data processing chain, thereby providing a trusted and accurate system for real-time health monitoring and anomaly detection. In this regard, the research also paves the way for designing next-gen IoT healthcare analytics and their actual clinical applications.
Authors
- Kumar Debasis (ORCID: https://orcid.org/0000-0002-0352-3267)
- Sivanagaraju Vallabhuni (ORCID: https://orcid.org/0009-0000-1316-5814)
Institutions
- SRM University (IN)
- VIT-AP University
Publication Details
- Journal
- Digital Health
- Published
- 2025-05-01
- DOI
- https://doi.org/10.1177/20552076251337848
- Citations
- 4
- Primary Topic
- Non-Invasive Vital Sign Monitoring
- Type
- article
- Field-Weighted Citation Impact
- 2.70