Opto-physiological monitoring senor to enable accurate physiological monitoring in real time and at anytime

Abstract

Current pulse oximetry has been facing inevitable challenges of skin tones, low perfusion, and motion artefacts due to the limitations of Lambert-Beer's law based photoplethysmography (PPG). This becomes a hurdle to achieve clinical standard practice when using a wearable device. Opto-physiological monitoring (OPM) is the exploration outcome of utilizing Radiative Transfer Theorem (RTT) to generate high-definition models to interact light with various types of tissues. A multi-wavelength opto-electronic patch sensor (mOEPS) based on these OPM models, has been developed to overcome those limitations of PPG devices. The mOEPS has multi-spectral illuminations associated with a specific sensing configuration and bespoke electronics with real-time embedded AI signal processing platform. to work out heart rate (HR), blood oxygen saturation (SpO2%), perfusion index (PI), and respiration rate (RR). One physical intensity protocol with five subjects algined with Monk Skin Tone (MST) scale has been carried out in a controlled chamber to validate the mOEPS functionalities where the sensor was attached on the back of wrist and chest of the subjects. The unprocessed signals captured by OPM sensor clearly reveal multi-spectral pulsatile waveforms for subjects with all skin types. The comparison of HR, RR, SpO2 gathering with the references from the comparators is executed to show the performance differences between mOEPS and these patient monitor and wearable devices. The outcomes demonstrate that the mOEPS enables physiological monitoring for all types of skin tones in real-time and at any time either in clinical sets or personal/home care at routine physical states compared to present PPG technology.