NDLI: Non-Invasive Infrasound Heart Murmur Detection with a Support Vector Machine (SVM) Classification Approach

Content Provider	IEEE Xplore Digital Library
Author	Rud, S.W. St. Jacque, N. Vant, A.D. Jiann-Shiou Yang
Copyright Year	2006
Description	Author affiliation: Univ. of Minnesota, Duluth (Rud, S.W.; St. Jacque, N.; Vant, A.D.; Jiann-Shiou Yang)
Abstract	The goal of this paper is to present new devices and techniques that detect low frequency vibrations from the human chest and correlate them to cardiac conditions. Several new devices and techniques of detecting a human heart murmur have been developed through the extraction of vibrations primarily in the range of 10 -150 Hertz (Hz) on the human chest. The devices and techniques have been tested on different types of simulators and through clinical trials with the consent of the University of Minnesota Institutional Review Board (IRB). Signals were collected using a kardiac infrasound device (KID) and accelerometers integrated with a custom MATLAB software interface and a data acquisition system. Using the interface, the data was analyzed and classified by a support vector machine (SVM) approach. Results show that the SVM was able to classify signals under different testing environments. For clinical trials, the SVM distinguished between normal and abnormal cardiac conditions and between pathological and non-pathological cardiac conditions. Finally, using the various devices, a correlation between heart murmurs and normal hearts was observed from human chest vibrations.
Starting Page	3503
Ending Page	3508
File Size	3162527
Page Count	6
File Format	PDF
ISBN	1424400996
DOI	10.1109/ICSMC.2006.384662
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-10-08
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Support vector machines Support vector machine classification Heart Humans Testing Clinical trials Frequency Accelerometers MATLAB Data acquisition
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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