Zhang, QingxueArney, DavidGoldman, Julian M.Isselbacher, Eric M.Armoundas, Antonis A.2022-01-072022-01-072020-11Zhang, Q., Arney, D., Goldman, J. M., Isselbacher, E. M., & Armoundas, A. A. (2020). Design Implementation and Evaluation of a Mobile Continuous Blood Oxygen Saturation Monitoring System. Sensors, 20(22), 6581. https://doi.org/10.3390/s202265811424-8220https://hdl.handle.net/1805/27304Objective: 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. Methods: 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. Results: The experimental results show that the root mean square error of the SpO2 estimation is only 1.8, indicating the effectiveness of the system. Conclusion: These results indicate the effectiveness of the customized mobile SpO2 monitor and the selected design principles. Significance: This research is expected to facilitate the continuous SpO2 monitoring of patients with clinical indications.en-USAttribution 4.0 Internationalblood oxygen saturationmobile healthphysiological signal processingwearable computerArticle