NDLI: A noise reference input to an adaptive filter algorithm for signal processing in a wearable pulse oximeter

Content Provider	IEEE Xplore Digital Library
Author	Comtois, G. Mendelson, Y.
Copyright Year	2007
Description	Author affiliation: Worcester Polytech. Inst., Worcester (Comtois, G.; Mendelson, Y.)
Abstract	A wearable battery-operated pulse oximeter has been developed for rapid field triage applications. The wearable system comprises three units: a small (Phi = 22 mm) and lightweight (4.5 g) reflectance-mode optical sensor module (SM), a receiver module (RM), and personal digital assistant (PDA). The information acquired by the forehead-mounted SM is transmitted wirelessly via a RF link to the waist-worn RM which processes the data and transmits it wirelessly to the PDA. Since photoplethysmographic (PPG)-based measurements, which are used by the pulse oximeter to determine arterial oxygen saturation $(SpO_{2})$ and heart rate (HR), can be degraded significantly during motion, the implementation of a reliable pulse oximeter for field applications requires sophisticated noise rejection algorithms. To minimize the effects of motion artifacts, which can lead to measurement dropouts, inaccurate readings and false alarms, a 16"'-order, least-mean squares (LMS), adaptive noise canceling (ANC) algorithm was implemented off-line in Matlab to process the PPG signals. This algorithm was selected because its computational requirement is comparable to a finite impulse response filter. Filter parameters were optimized for computational speed and measurement accuracy. A tri-axial MEMS accelerometer (ACC) served as a noise reference input to the ANC algorithm.
Starting Page	106
Ending Page	107
File Size	210332
Page Count	2
File Format	PDF
ISBN	9781424410323
DOI	10.1109/NEBC.2007.4413301
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-03-10
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Signal processing algorithms Adaptive filters Adaptive signal processing Personal digital assistants Pulse measurements Noise cancellation Optical pulses Samarium Motion measurement Noise measurement
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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