Wearable underwater vital signs monitoring system

Abstract We have designed a monitoring system for vital signs that operates normally at depths of up to 300 meters. The system incorporates multiple sensors for measuring physiological parameters including blood oxygen saturation, heart rate, electrocardiogram signals, and body temperature. Utilizing a wearable, integrated design, it transmits data in real-time to a wrist display terminal and a surface computer for monitoring by divers and surface personnel. The collected photoplethysmography (PPG) and electrocardiogram (ECG) signals are filtered. The heart rate error calculated using PPG signal is less than 5%, and the blood oxygen error is less than 2%.Adopting adaptive filtering algorithm to filter ECG signals, the maximum error of RLS algorithm model is 0.13%. Tests are conducted on temperature, heart rate, and blood oxygen accuracy, underwater communication stability, and packaging pressure resistance.

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Publication Details

Journal
Journal of Physics Conference Series
Published
2025-05-01
DOI
https://doi.org/10.1088/1742-6596/3007/1/012034
Primary Topic
Non-Invasive Vital Sign Monitoring
Type
article
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article

Wearable underwater vital signs monitoring system

Z. G. Liu, Lingshu Kong, Sheng Wu, Wenbin Lu et al.
Journal of Physics Conference Series
Non-Invasive Vital Sign Monitoring
article

Wearable underwater vital signs monitoring system

Z. G. Liu, Lingshu Kong, Sheng Wu, Wenbin Lu, Yiran Wei, R. Liu, Tao Wu, Tianqi Du
article en

Abstract

Abstract We have designed a monitoring system for vital signs that operates normally at depths of up to 300 meters. The system incorporates multiple sensors for measuring physiological parameters including blood oxygen saturation, heart rate, electrocardiogram signals, and body temperature. Utilizing a wearable, integrated design, it transmits data in real-time to a wrist display terminal and a surface computer for monitoring by divers and surface personnel. The collected photoplethysmography (PPG) and electrocardiogram (ECG) signals are filtered. The heart rate error calculated using PPG signal is less than 5%, and the blood oxygen error is less than 2%.Adopting adaptive filtering algorithm to filter ECG signals, the maximum error of RLS algorithm model is 0.13%. Tests are conducted on temperature, heart rate, and blood oxygen accuracy, underwater communication stability, and packaging pressure resistance.

Journal of Physics Conference SeriesVol. 3007(1)
Yantai University (CN), Shanghai Power Equipment Research Institute (CN), Qingdao Academy of Intelligent Industries (CN), Ocean University of China (CN)
Openalex Percentile: Top 88%
Non-Invasive Vital Sign Monitoring
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Wearable underwater vital signs monitoring system — Z. G. Liu, Lingshu Kong, et al. · Journal of Physics Conference Series (2025) | TGRS Research Map | TGRS