Signal processing methods for pulse oximetry

Current signal processing technology has driven many advances in almost every aspect of life, including medical applications. It follows that applying signal processing techniques to pulse oximetry could also provide major improvements. This research was designed to identify and implement one or mor...

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Bibliographic Details
Published in:Computers in biology and medicine 1996-03, Vol.26 (2), p.143-159
Main Authors: Rusch, T.L., Sankar, R., Scharf, J.E.
Format: Article
Language:English
Subjects:
Algorithms
Bias
Biological and medical sciences
Fourier Analysis
Humans
Investigative techniques, diagnostic techniques (general aspects)
Medical sciences
Miscellaneous. Technology
Oximetry - methods
Oximetry - standards
Oximetry - utilization
Oxygen saturation (SpO 2) computation
Pathology. Cytology. Biochemistry. Spectrometry. Miscellaneous investigative techniques
Pulse oximetry
Reproducibility of Results
Signal processing
Signal Processing, Computer-Assisted
Spectral analysis
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Summary:Current signal processing technology has driven many advances in almost every aspect of life, including medical applications. It follows that applying signal processing techniques to pulse oximetry could also provide major improvements. This research was designed to identify and implement one or more techniques that could improve pulse oximetry oxygen saturation (SpO 2) measurements. The hypothesis was that frequency domain analysis could more easily extract the cardiac rate and amplitude of interest from the time domain signal. The focus was on the digital signal processing algorithms that had potential to improve pulse oximetry readings, and then test those algorithms. This was accomplished using the Fast Fourier Transform (FFT) and the Discrete Cosine Transform (DCT). The results indicate that the FFT and DCT computation of oxygen saturation were as accurate without averaging, as weighted moving average (WMA) algorithms currently being used, and directly indicate when erroneous calculations occur.
ISSN:0010-4825
1879-0534
DOI:10.1016/0010-4825(95)00049-6