The non-invasive pulse-oximeter is a crucial parameter in continuous monitoring systems. It plays a vital role from admission of the patient to surgeries with general anaesthesia. The paper proposes the application of wavelet transform to delineate the raw plethysmograph signals obtained from basic portable and mobile-powered electronic hardware. The paper primarily focuses on finding peaks and baseline from noisy infrared and red waveforms which are responsible for calculating heart-rate and oxygen saturation percentages.
Cite
@article{arxiv.1011.0250,
title = {Delineation of Raw Plethysmograph using Wavelets for Mobile based Pulse Oximeters},
author = {Sangeeta Soni and Yogendra Namjoshi},
journal= {arXiv preprint arXiv:1011.0250},
year = {2010}
}
Comments
Proceedings of 5th Innovative Conference on Embedded Systems, Mobile Communication and Computing, Pg. 74-84, ISBN 023-033-045-2