文档介绍：WORKS AND WAVELET ANAL-YSIS
IN PUTER INTERPRETATION OF
PULSE OXIMETRY DATA
Farid U. Dowla, Paul G. Skokowski and Richard R. Leach Jr.
Lawrence Livermore National Laboratory
University of California
Abstract
Pulse oximeters determine the oxygen saturation level of blood by measuring the
light absorption of arterial blood. The sensor consists of red and infrared light
sources and photodetectors. A method based on works and wavelet
analysis is developed for improved saturation estimation in the presence #ofsensor
motion. Spectral and correlation functions of the dual channel oximetry (dataare
used by a backpropagation work to characterize the type of motion.
Amplitude ratios of red to infrared signals as a function of time scale are obtained
from the multiresolution wavelet position of the two-channel data. Motion
class and amplitude ratios are bined to obtain a short-time estimate of the
oxygen saturation level. A final estimate of oxygen saturation is obtained by
applying a 15 s smoothing filter on the short-time measurements based on s
windows sampled every s. The design employs two backpropagation neural
networks. The first work determines the motion characteristics and the
work determines the saturation estimate. Our approach utilizes
waveform analysis in contrast to the standard algorithms that are based on the
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