Wearable health monitoring system using multispectral sensing with visible and near-infrared light

This research introduces a wearable health monitoring system based on multispectral sensing technology. Utilizing light across visible to near-infrared wavelengths, this system non-invasively captures spectral data from ten different wavelengths to assess physiological signals from multiple tissue layers. By integrating Photoplethysmography (PPG) and Near-Infrared Spectroscopy (NIRS) technologies, our system can continuously and accurately monitor physiological parameters such as heart rate, changes in hemoglobin concentration, and peripheral vascular resistance. This approach aims to enhance personal health monitoring by providing users with detailed health insights in a convenient and effective manner, attempting to bridge the gap between daily health management and clinical diagnostics.

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Publication Details

Published
2025-03-20
DOI
https://doi.org/10.1117/12.3044071
Primary Topic
IoT-based Smart Home Systems
Type
article
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article

Wearable health monitoring system using multispectral sensing with visible and near-infrared light

Ting Li, Dongsheng Li
IoT-based Smart Home Systems
article

Wearable health monitoring system using multispectral sensing with visible and near-infrared light

Ting Li, Dongsheng Li
article en

Abstract

This research introduces a wearable health monitoring system based on multispectral sensing technology. Utilizing light across visible to near-infrared wavelengths, this system non-invasively captures spectral data from ten different wavelengths to assess physiological signals from multiple tissue layers. By integrating Photoplethysmography (PPG) and Near-Infrared Spectroscopy (NIRS) technologies, our system can continuously and accurately monitor physiological parameters such as heart rate, changes in hemoglobin concentration, and peripheral vascular resistance. This approach aims to enhance personal health monitoring by providing users with detailed health insights in a convenient and effective manner, attempting to bridge the gap between daily health management and clinical diagnostics.

Peking Union Medical College Hospital (CN)
Openalex Percentile: Top 96%
IoT-based Smart Home Systems
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