Signal quality measure for pulsatile physiological signals using morphological features: Applications in reliability measure for pulse oximetry.

ABSTRACT: Pulse oximetry is a noninvasive and low-cost physiological monitor that measures blood oxygen levels. While the noninvasive nature of pulse oximetry is advantageous, the estimates of oxygen saturation generated by these devices are prone to motion artifacts and ambient noise, reducing the reliability of such estimations. Clinicians combat this by assessing the quality of oxygen saturation estimation by visual inspection of the photoplethysmograph (PPG), which represents changes in pulsatile blood volume and is also generated by the pulse oximeter. In this paper, we propose six morphological features that can be used to determine the quality of the PPG signal and generate a signal quality index. Unlike many similar studies, this approach uses machine learning and does not require a separate

SUBMITTER: Sabeti E 

PROVIDER: S-EPMC7453727 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature