OxiMA: A Frequency-Domain Approach to Address Motion Artifacts in Photoplethysmograms for Improved Estimation of Arterial Oxygen Saturation and Pulse Rate

Abstract

This is the first study to demonstrate the feasibility of a reconstruction algorithm to improve oxygen saturation estimates on a dataset with MAs and concomitant hypoxia.

Wearable Sensing and Telehealth Technology with Potential Applications in the Coronavirus Pandemic

“…Chacon et al reported a wireless wearable pulse oximeter that was integrated with a novel data-dependent motion artefact tailoring algorithm, which demonstrated to be an efficient method for continuous monitoring of SpO2 [30]. Another recent study by Harvey et al developed an algorithm based on the time-frequency components of a PPG, which was demonstrated to have an accuracy of 96.76% for SpO2 measurements with motion artefacts and at low oxygen level [31]. Potential solutions have also been studied for improving the energy efficiency of pulse oximetry.…”

A review of wearable and unobtrusive sensing technologies for chronic disease management

“…In addition to HR and HRV, other vital signs can also be derived through physiological modeling, where machine learning is often involved. As a crucial physiological parameters reflecting the health status of patients with cardiovascular diseases[ 41 ], BP can be estimated using wearable devices. Thanks to the well-known Pulse Transit Time (PTT) theory, a large number of studies have been completed using the time intervals between ECG and PPG fiducial points, and clinical-level cuff-less continuous BP monitoring can be realized following delicate calibration [ 42 ].…”

“…However, motion artifact remains a major problem when deploying SpO 2 measurement in wearable devices. Nonetheless, recent efforts have enabled accurate SpO 2 measurement from motion artifact corrupted segments [ 49 ].…”

Fundamentals, Recent Advances, and Future Challenges in Bioimpedance Devices for Healthcare Applications

“…to improve current healthcare systems and citizens quality of life [3]. Multiple sensorization technologies are being investigated and developed towards their application to the monitoring of the health condition, either in a clinical environment or in wearable devices for remote monitoring at the user's home [4,5]: heart rate variability [6], glucose level in the blood [7], blood pressure [4], temperature [8], physical activity [2], pulse oximetry [9], etc. Among these technologies, bioimpedance takes a prominent place, since it allows providing an insight about the internal processes of the body in a noninvasive way [10,11].…”