Signal Extraction Technology

Oropharyngeal and Tongue Pulse Oximetry in 2 Critically Ill Pediatric Patients: A Case Report

“…Patient-or monitor-related issues that may interfere with the ability to obtain a plethysmograph and accurate readings from the pulse oximeter include motion artifact, interference from ambient light or skin pigmentation, hypothermia, peripheral vasoconstriction, low perfusion, or decreased cardiac output. [4][5][6][7] In our first patient, peripheral vasoconstriction and a low cardiac output state impeded our ability to use pulse oximetry. In our second patient, access to a routine monitoring site due to extensive burns impeded our ability to use pulse oximetry.…”

Evaluation of key design parameters for mitigating motion artefact in the mobile reflectance PPG signal to improve estimation of arterial oxygenation

“…Current investigational techniques have focused on softwarebased mitigation strategies such as computational algorithms that have attempted to isolate the effects of undesired motion induced artefacts by rejecting suspect estimates of signal values (Pollard andPrough 1996, Goldman et al 2000). A classic example involves the use of adaptive noise cancellation that extracts the signal and removes the inband noise using a signal extraction algorithm (SET ® ) developed by Masimo (Goldman et al 2000).…”

Analysis of the photoplethysmographic signal by means of the decomposition in principal components

“…This component seems to be independent of the oscillating component and has attracted much interest in the scientific literature. The rest of the signal has generally been considered as an undesirable perturbation that makes it more difficult to analyse the subjacent information (Langton and Hanning 1990, Nickerson et al 1988, Pollard and Prough 1996. Few authors have taken into consideration the variability of this signal; however, their approximation to this problem has usually involved descriptive statistics as a main tool (Nitzan et al 1998).…”