| Issue |
E3S Web Conf.
Volume 496, 2024
International Conference on Energy, Infrastructure and Environmental Research (EIER 2024)
|
|
|---|---|---|
| Article Number | 02006 | |
| Number of page(s) | 5 | |
| Section | Engineering Physics and Computational Technologies | |
| DOI | https://doi.org/10.1051/e3sconf/202449602006 | |
| Published online | 12 March 2024 | |
Non-invasive estimation of sbp pressure using a single ppg sensor and self-calibration
1 National Institute of Applied Mechanics and Informatics, Vietnam Academy of Science and Technology, Ho Chi Minh City, Vietnam
2 Graduate University of Science and Technology, Vietnam Academy of Science and Technology, Hanoi, Vietnam
3 University of Information Technology, Vietnam National University HCMC, Ho Chi Minh City, Vietnam
* Email: gialong2412@gmail.com
This paper presents an efficient approach to the non-invasive estimation of Systolic Blood Pressure (SBP) using just a single photoplethysmography (PPG) sensor and self-calibration procedure. In this scheme, two features of the measured PPG signal, which are systolic upstroke time (SUT) and PPG inter-beat interval (IBI), are extracted to be used in the estimation model. Here, for each individual, a unique model is self-calibrated in order to provide better accuracy. The experimental results demonstrated the merits and promising potentials for future application of the proposed approach.
© The Authors, published by EDP Sciences, 2024
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