Please use this identifier to cite or link to this item: http://ir.unikl.edu.my/jspui/handle/123456789/9712
metadata.conference.dc.title: Segmentation of Heart Sound Signals into Cycles based on Peak Intervals Pattern
metadata.conference.dc.contributor.*: Ahmad Zubir Suboh
Muhyi Yaakop
Mohd Syazwan Md Yid
Mohammad Hendra Che Morad
UniKL BMI
metadata.conference.dc.subject: Heart sound
segmentation
cycle
peak intervals
metadata.conference.dc.date.issued: 25-Mar-2015
metadata.conference.dc.description.abstract: Heart sound segmentation was very important as it is one of the most important steps in heart sound analysis. This paper describes how heart sound signal is segmented into cycles based on the pattern of peak intervals. The major steps in this project include detecting the significant peaks, determining intervals consistency level and finally removing unwanted peak as well as recovering the missing peak. 908 out of 1089 cycles from 62 set of normal and abnormal signals are successfully detected by the system.
metadata.conference.dc.identifier.uri: http://localhost/xmlui/handle/123456789/9712
metadata.conference.dc.identifier.issn: 10.1109/ICE2T.2014.7006266
metadata.conference.dc.conference.name: International Conference on Engineering Technology and Technopreneurship (ICE2T 2014)
metadata.conference.dc.conference.year: 2014
Appears in Collections:Conference Papers



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