Cover Image

Best pulse selection of photoplethysmography signal through comparative method

Link to publisher's homepage at http://ieeexplore.ieee.org/

Saved in:
Bibliographic Details
Main Authors: Nurhafizah, Mahri, Gan, Kok Beng, Dr., Mohd. Alauddin, Mohd. Ali, Prof. Dr.
Other Authors: hafizahm@uthm.edu.my
Format: Working Paper
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE) 2012
Subjects:
Photoplethysmography
Digital signal processing
Comparative method
Valley detection
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/21407
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.unimap-21407
record_format dspace
spelling my.unimap-214072012-10-18T07:56:22Z Best pulse selection of photoplethysmography signal through comparative method Nurhafizah, Mahri Gan, Kok Beng, Dr. Mohd. Alauddin, Mohd. Ali, Prof. Dr. hafizahm@uthm.edu.my kok beng gan@yahoo.com mama@vlsi.eng.ukm.my Photoplethysmography Digital signal processing Comparative method Valley detection Link to publisher's homepage at http://ieeexplore.ieee.org/ 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. 2012-10-18T07:56:22Z 2012-10-18T07:56:22Z 2012-02-27 Working Paper p. 389-392 978-145771989-9 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6179044 http://hdl.handle.net/123456789/21407 en Proceedings of the International Conference on Biomedical Engineering (ICoBE 2012) Institute of Electrical and Electronics Engineers (IEEE)
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Photoplethysmography
Digital signal processing
Comparative method
Valley detection
spellingShingle Photoplethysmography
Digital signal processing
Comparative method
Valley detection
Nurhafizah, Mahri
Gan, Kok Beng, Dr.
Mohd. Alauddin, Mohd. Ali, Prof. Dr.
Best pulse selection of photoplethysmography signal through comparative method
description Link to publisher's homepage at http://ieeexplore.ieee.org/
author2 hafizahm@uthm.edu.my
author_facet hafizahm@uthm.edu.my
Nurhafizah, Mahri
Gan, Kok Beng, Dr.
Mohd. Alauddin, Mohd. Ali, Prof. Dr.
format Working Paper
author Nurhafizah, Mahri
Gan, Kok Beng, Dr.
Mohd. Alauddin, Mohd. Ali, Prof. Dr.
author_sort Nurhafizah, Mahri
title Best pulse selection of photoplethysmography signal through comparative method
title_short Best pulse selection of photoplethysmography signal through comparative method
title_full Best pulse selection of photoplethysmography signal through comparative method
title_fullStr Best pulse selection of photoplethysmography signal through comparative method
title_full_unstemmed Best pulse selection of photoplethysmography signal through comparative method
title_sort best pulse selection of photoplethysmography signal through comparative method
publisher Institute of Electrical and Electronics Engineers (IEEE)
publishDate 2012
url http://dspace.unimap.edu.my/xmlui/handle/123456789/21407
_version_ 1643793370188873728
score 13.222552

Similar Items