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Title: Best pulse selection of photoplethysmography signal through comparative method
Authors: Nurhafizah, Mahri
Gan, Kok Beng, Dr.
Mohd. Alauddin, Mohd. Ali, Prof. Dr.
???metadata.dc.contributor.url???: hafizahm@uthm.edu.my
kok beng gan@yahoo.com
Keywords: Photoplethysmography;Digital signal processing;Comparative method;Valley detection
Issue Date: 27-Feb-2012
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Citation: p. 389-392
Series/Report no.: Proceedings of the International Conference on Biomedical Engineering (ICoBE 2012)
Abstract: Photoplethysmography (PPG) signals are always corrupted with motion artifacts and resulting in bad quality PPG signals. The proper designed data acquisition protocol may help in acquisition of reliable and consistence PPG signal. However, in most cases, the acquired PPG are bad quality signals. The repeated acquisition sessions sometimes can not be performed due to ethical issues and time consuming. As such an essential step is needed to deal with the corrupted PPG signal. In this report, an algorithm to select best pulse in PPG signal through comparative method of valley detection is proposed. The clinical data showed that this algorithm is a promising tool to analyze low quality PPG signals especially during data acquisition.
Description: Link to publisher's homepage at http://ieeexplore.ieee.org/
URI: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6179044
ISBN: 978-145771989-9
Appears in Collections:Conference Papers

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