NDLI: Arterial pulse wave decomposition by independent component analysis

Content Provider	IEEE Xplore Digital Library
Author	Gbaoui, L. Kaniusas, E.
Copyright Year	2009
Description	Author affiliation: Institute of Electrodynamics, Microwaves and Circuit Engineering, Vienna University of Technology, Austria (Gbaoui, L.; Kaniusas, E.)
Abstract	The analysis of the arterial pulse wave has become an important tool in the assessment of the cardiovascular activity and arterial properties. Most approaches using only the pressure or velocity pulse wave evaluate pulse parameters using the first or higher derivatives of the pulse wave. These methods are simple but limited in case the waves are noisy, weak, or their diastolic peak is damped. As an alternative, the wave intensity analysis provides a simple way to separate the forward and backward waves to asses pulse parameters but requires the simultaneous measurement of pressure and blood flow waves, which is not trivial. Thus we propose a more strategic approach facilitating the independence of the forward and reflected waves in order to increase the reliability of the extracted pulse parameters. The approach uses non-linear embedding of the photoplethys-mographical pulse wave within the scope of the independent component analysis to extract the hidden independent sources in the waveform. The results yield forward and reflected waves from single channel recording demonstrating the adequacy of the approach.
Starting Page	111
Ending Page	115
File Size	792627
Page Count	5
File Format	PDF
ISBN	9781424435982
DOI	10.1109/MEMEA.2009.5167966
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-05-29
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Independent component analysis Arteries Pulse measurements Pulse circuits Acoustic reflection Electrodynamics Microwave circuits Microwave technology Blood flow Aging state space components Independent Component Analysis pulse wave Forward wave Photoplethysmogram Reflected wave Acceleration wave
Content Type	Text
Resource Type	Article

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