Title :
Noise-resistant pulse oximetry using a synthetic reference signal
Author :
Coetzee, Frans M. ; Elghazzawi, Ziad
Author_Institution :
Siemens Corp. Res. Inc., Princeton, NJ, USA
Abstract :
Describes a noise-resistant pulse oximetry algorithm suited to both signal reconstruction and oxygen saturation estimation. The algorithm first detects relatively clean signal sections from which the heart rate is estimated. The heart rate is used to construct a synthetic reference signal that matches an idealized pulse signal. An adaptive filter continuously processes the sensor signals, reconstructing signals in a linear subspace defined by the reference signal. A projective subspace algorithm is then applied to find the oxygenation level of the blood. The authors show that under specific circumstances this algorithm solves the sufficiency condition for signal reconstruction in linear saturation estimators. The core principle of using a frequency modulated synthetic reference signal can be applied to adaptive filtering of other physiological signals controlled by the heartbeat, such as blood pressure and electrocardiogram.
Keywords :
adaptive filters; adaptive signal processing; noise; oximetry; signal reconstruction; O/sub 2/; blood pressure; electrocardiogram; heart rate; idealized pulse signal; linear saturation estimators; linear subspace; noise-resistant pulse oximetry algorithm; oxygen saturation estimation; physiological signals; relatively clean signal sections; sensor signals; sufficiency condition; synthetic reference signal; Adaptive filters; Blood; Frequency modulation; Heart beat; Heart rate; Heart rate detection; Pressure control; Signal detection; Signal processing; Signal reconstruction; Algorithms; Biomedical Engineering; Heart Rate; Humans; Oximetry; Oxygen; Signal Processing, Computer-Assisted;
Journal_Title :
Biomedical Engineering, IEEE Transactions on