Design Implementation and Evaluation of a Mobile Continuous Blood Oxygen Saturation Monitoring System

In this study, we built a mobile continuous Blood Oxygen Saturation (SpO2) monitor, and for the first time, explored key design principles towards daily applications. We firstly built a customized wearable computer that can sense two-channel photoplethysmogram (PPG) signals, and transmit the signals...

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Bibliographic Details
Published in:Sensors (Basel, Switzerland) Switzerland), 2020-11, Vol.20 (22), p.6581
Main Authors: Zhang, Qingxue, Arney, David, Goldman, Julian M, Isselbacher, Eric M, Armoundas, Antonis A
Format: Article
Language:English
Subjects:
Adult
Algorithms
Blood
blood oxygen saturation
Calibration
Chronic illnesses
Computers
Configurations
Customization
Female
Hand
Hemoglobin
Hospitals
Humans
Investigations
Letter
Male
Methods
Middle Aged
mobile health
Monitoring
Monitoring systems
Oximetry
Oxygen - blood
Oxygen content
Oxygen saturation
Parameter estimation
Photoplethysmography
physiological signal processing
Principles
Pulse oximetry
Recording equipment
Signal processing
Signal Processing, Computer-Assisted
Smartphone
Smartphones
Software
wearable computer
Wearable computers
Wireless Technology
Young Adult
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Summary:In this study, we built a mobile continuous Blood Oxygen Saturation (SpO2) monitor, and for the first time, explored key design principles towards daily applications. We firstly built a customized wearable computer that can sense two-channel photoplethysmogram (PPG) signals, and transmit the signals wirelessly to smartphone. Afterwards, we explored many SpO2 model building principles, focusing on linear/nonlinear models, different PPG parameter calculation methods, and different finger types. Moreover, we further compared PPG sensor placement principles by comparing different hand configurations and different finger configurations. Finally, a dataset collected from eleven human subjects was used to evaluate the mobile health monitor and explore all of the above design principles. The experimental results show that the root mean square error of the SpO2 estimation is only 1.8, indicating the effectiveness of the system. These results indicate the effectiveness of the customized mobile SpO2 monitor and the selected design principles. This research is expected to facilitate the continuous SpO2 monitoring of patients with clinical indications.
ISSN:1424-8220
1424-8220
DOI:10.3390/s20226581