Using machine learning models for cuffless blood pressure estimation with ballistocardiogram and impedance plethysmogram
The proposed method significantly improved the accuracy of cuffless BP measurement, indicating its potential integration into weight-fat scales as an unconstrained device for effective utilization in mHealth applications.
Authors
- Bo-Yan Wu
- Shing-Hong Liu (ORCID: https://orcid.org/0000-0002-3923-4387)
- Wenxi Chen (ORCID: https://orcid.org/0000-0002-7938-9033)
- Yao Sun
- Xin Zhu (ORCID: https://orcid.org/0000-0002-4376-0806)
Institutions
- Tokyo Institute of Technology (JP)
- Chaoyang University of Technology (TW)
- University of Aizu (JP)
Publication Details
- Journal
- Frontiers in Digital Health
- Published
- 2025-02-21
- DOI
- https://doi.org/10.3389/fdgth.2025.1511667
- Citations
- 5
- Primary Topic
- Non-Invasive Vital Sign Monitoring
- Type
- article
- Field-Weighted Citation Impact
- 3.37