PaperarXiv:2412.17549
Tri-Spectral PPG: Robust Reflective Photoplethysmography by Fusing Multiple Wavelengths for Cardiac Monitoring
arXiv preprint (eess.SP) · Accepted at BSN2024
TL;DR
Multi-channel photoplethysmography (PPG) sensors have found widespread adoption in wearable devices for monitoring cardiac health. Channels thereby serve different functions -- whereas green is commonly used for metrics such as heart rate and heart rate variability, red and infrared are commonly used for pulse oximetry.
- Form factor: wrist
Abstract
Multi-channel photoplethysmography (PPG) sensors have found widespread adoption in wearable devices for monitoring cardiac health. Channels thereby serve different functions – whereas green is commonly used for metrics such as heart rate and heart rate variability, red and infrared are commonly used for pulse oximetry. In this paper, we introduce a novel method that simultaneously fuses multi-channel PPG signals into a single recovered PPG signal that can be input to further processing. Via signal fusion, our learning-based method compensates for the artifacts that affect wavelengths to different extents, such as motion and ambient light changes. We evaluate our method on a novel dataset of multi-channel PPG recordings and electrocardiogram recordings for reference from 10 participants over the course of 13 hours during real-world activities outside the laboratory. Using the fusion PPG signal our method recovered, participants' heart rates can be calculated with a mean error of 4.5 bpm (23% lower than from green PPG signals at 5.9 bpm).
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Tasks & signals
Tasks
Signals
Keywords
How it works
- Wavelengths
- green, red, IR
Cite this paper
APA
Meier, M., Demirel, B. U., & Holz, C. (2024). Tri-Spectral PPG: Robust Reflective Photoplethysmography by Fusing Multiple Wavelengths for Cardiac Monitoring. arXiv preprint · Accepted at BSN2024. https://doi.org/10.48550/arXiv.2412.17549
BibTeX
@misc{meier2024trispectral,
title = {{Tri-Spectral PPG: Robust Reflective Photoplethysmography by Fusing Multiple Wavelengths for Cardiac Monitoring}},
author = {Meier, Manuel and Demirel, Berken Utku and Holz, Christian},
year = {2024},
howpublished = {arXiv preprint · Accepted at BSN2024},
doi = {10.48550/arXiv.2412.17549},
eprint = {2412.17549},
archivePrefix = {arXiv}
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