A computational system to optimise noise rejection in photoplethysmography signals during motion or poor perfusion states

Foo, J. Y. A. and Wilson, S. J. (2006) A computational system to optimise noise rejection in photoplethysmography signals during motion or poor perfusion states. Medical & Biological Engineering & Computing, 44 1-2: 140-145. doi:10.1007/s11517-005-0008-y


Author Foo, J. Y. A.
Wilson, S. J.
Title A computational system to optimise noise rejection in photoplethysmography signals during motion or poor perfusion states
Journal name Medical & Biological Engineering & Computing   Check publisher's open access policy
ISSN 0140-0118
Publication date 2006
Sub-type Article (original research)
DOI 10.1007/s11517-005-0008-y
Volume 44
Issue 1-2
Start page 140
End page 145
Total pages 6
Place of publication Heidelberg
Publisher Springer Heidelberg
Collection year 2006
Language eng
Subject CX
Abstract Photoplethysmography (PPG) signals can be used in clinical assessment such as heart rate (HR) estimations and extraction of arterial flow waveforms. Motion artefact and/or poor peripheral perfusion can contaminate the PPG during monitoring. A computational system is presented here to minimise these two intrinsic weaknesses of the PPG signals. Specifically, accelerometers are used to detect the presence of motion artefacts and an adaptive filter is employed to minimise induced errors. Zero-phase digital filtering is engaged to reduce inaccuracy on the PPG signals when measured from a poorly perfused periphery. In this system, a decision matrix adopts the appropriate technique to improve the PPG signal-to-noise ratio dynamically. Statistical analyses show promising results (maximum error < 7.63%) when computed HR is compared to corresponding estimates from the electrocardiogram. Hence, the results here suggest that this dual-mode approach has potential for use in relevant clinical measurements.
Keyword Computer Science, Interdisciplinary Applications
Engineering, Biomedical
Medical Informatics
photoplethysmography
motion artefact
poor peripheral perfusion
adaptive filter
accelerometry
zero-phase digital filter
Q-Index Code CX

Document type: Journal Article
Sub-type: Article (original research)
Collections: Excellence in Research Australia (ERA) - Collection
School of Information Technology and Electrical Engineering Publications
 
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Created: Wed, 19 Sep 2007, 17:58:53 EST