Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/xmlui/handle/123456789/21407
Full metadata record
DC FieldValueLanguage
dc.contributor.authorNurhafizah, Mahri-
dc.contributor.authorGan, Kok Beng, Dr.-
dc.contributor.authorMohd. Alauddin, Mohd. Ali, Prof. Dr.-
dc.date.accessioned2012-10-18T07:56:22Z-
dc.date.available2012-10-18T07:56:22Z-
dc.date.issued2012-02-27-
dc.identifier.citationp. 389-392en_US
dc.identifier.isbn978-145771989-9-
dc.identifier.urihttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6179044-
dc.identifier.urihttp://dspace.unimap.edu.my/123456789/21407-
dc.descriptionLink to publisher's homepage at http://ieeexplore.ieee.org/en_US
dc.description.abstractPhotoplethysmography (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.en_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.ispartofseriesProceedings of the International Conference on Biomedical Engineering (ICoBE 2012)en_US
dc.subjectPhotoplethysmographyen_US
dc.subjectDigital signal processingen_US
dc.subjectComparative methoden_US
dc.subjectValley detectionen_US
dc.titleBest pulse selection of photoplethysmography signal through comparative methoden_US
dc.typeWorking Paperen_US
dc.contributor.urlhafizahm@uthm.edu.myen_US
dc.contributor.urlkok beng gan@yahoo.comen_US
dc.contributor.urlmama@vlsi.eng.ukm.myen_US
Appears in Collections:Conference Papers

Files in This Item:
File Description SizeFormat 
5A8.pdf1.23 MBAdobe PDFView/Open


Items in UniMAP Library Digital Repository are protected by copyright, with all rights reserved, unless otherwise indicated.