Real time and anytime opto-physiological monitoring

Sijung Hu; Jiajin Hou; Xiaoyu Zheng; Vincent Dwyer; Laura Barrett; Yasmin Elsahar

doi:10.1117/12.3006570

20 September 2023 Real time and anytime opto-physiological monitoring

Sijung Hu, Jiajin Hou, Xiaoyu Zheng, Vincent Dwyer, Laura Barrett, Yasmin Elsahar

Proceedings Volume 12608, Biomedical Imaging and Sensing Conference; 1260807 (2023) https://doi.org/10.1117/12.3006570
Event: Optics and Photonics International Congress, 2023, Yokohama, Japan

Abstract

Real-time physiological monitoring is a real challenge due to physical activity to directly disturb photoplethysmography (PPG) based physiological monitoring. Opto-physiological monitoring (OPM) to evolute Beer-Lambert driven PPG, has been well generating a new multi-wavelength optoelectronic patch sensor (mOEPS) to overcome drawbacks of present PPG sensors causing from gravity, balance, skin tone, thermoregulation, and contact force that are highly conducted with hemodynamic processes. A specific configuration of mOEPS has been well defined to enable OPM engineering realization and to generate a multi-spectral imaging of various opto-physiological variations. Together bespoke electronics with embedded algorithms of minimum residual (MR) signal processing, mOEPS delivers a high standard physiological monitoring and assessment in real time and at any time. One physical activity protocols engaged with 12 subjects have been implemented with mOEPS system together with its real time MR. The MA-free pulsatile signals obtained through mOEPS system enables to calculate HR and respiration rate (RR) to 1.44 beat/min and 2.85 breath/min respectively for in-house datasets. Oxygen saturation (SpO₂%) levels calculated from MR are consistent with the expected values of ≥ 95% and the Pearson correlation (R) for HR and RR are 0.99 and 0.91 respectively. The outcomes demonstrate mOEPS system is capable of real-time and anytime physiological monitoring at physical states. The coming mOEPS validation against golden standards will be performed to prove a prospective wearable system for clinical grade monitoring and assessment in a continuous physiological status.

Citation Download Citation

Sijung Hu, Jiajin Hou, Xiaoyu Zheng, Vincent Dwyer, Laura Barrett, and Yasmin Elsahar "Real time and anytime opto-physiological monitoring", Proc. SPIE 12608, Biomedical Imaging and Sensing Conference, 1260807 (20 September 2023); https://doi.org/10.1117/12.3006570

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KEYWORDS

Light emitting diodes

Light sources and illumination

LED lighting

Sensors

Signal processing

Signal intensity

Digital signal processing

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