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A Gaussian mixture models approach to human heart signal verification using different feature extraction algorithms
conference contribution
posted on 2023-05-23, 12:13 authored by Wahid, R, Ghali, NI, Own, HS, Kim, T-H, Hassanien, AEIn this paper the possibility of using the human heart signal feature for human verification is investigated. The presented approach consists of two different robust feature extraction algorithms with a specified configuration in conjunction with Gaussian mixture modeling. The similarity of two samples is estimated by measuring the difference between their negative log-likelihood of the features. To evaluate the performance and the uniqueness of the presented approach tests using a high resolution auscultation digital stethoscope are done for nearly 80 heart sound samples. The experimental results obtained show that the accuracy offered by the employed Gaussian mixture modeling reach up to 100% for 7 samples using the first feature extraction algorithm and 6 samples using the second feature extraction algorithm and varies with average 85%.
History
Publication title
Computer Applications for Bio-technology, Multimedia and Ubiquitous City, FGIT 2012Volume
353Editors
T-H Kim, JJ Kang, WI Grosky, T Arslan, N PissinouPagination
16-24ISSN
1865-0929Department/School
School of Information and Communication TechnologyPublisher
SpringerPlace of publication
United StatesEvent title
Future Generation Information Technology Conference, FGIT 2012Event Venue
Gangneug, South KoreaDate of Event (Start Date)
2012-12-16Date of Event (End Date)
2012-12-19Rights statement
Copyright 2012 Springer-Verlag Berlin Heidelberg.Repository Status
- Restricted