Research and Application of Heart Sound Alignment and Descriptor

Bin Bin Fu, Xiao Lei Fei, Boomadevi Sekar, Ming Chui Dong

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

The research and application of heart sound (HS) analysis for cardiovascular disease (CVD) diagnosis has attracted more attention recently. Unlike other relevant HS analysis research, such as HS detection/component segmentation, HS feature extraction/classification etc., the proposed research treats HS as a whole and focuses mainly on comparing the similarity of acoustical characteristics reflecting pathological condition between two HSs, one of which is HS under test and another is the HS with known CVD. The concrete procedure refers to alignment of the HS into sequence and evaluating the similarity index through complexity and similarity analysis. In accordance with specific characteristics of HS, several relevant technologies such as musical instrument digital interface (MIDI), binary coding, N-gram, Lempel-Ziv (L-Z) complexity as well as super-symmetric comparison distance (SCD) similarity metric etc. are researched to be adapted and cascaded to realize the aforementioned target successfully. The contribution lies in that the aligning schemes including binary and N-gram are thoroughly investigated and then testing results witnessing the superiority of using N-gram in proposed approach are presented. The success of such a novel approach would not only assign a the new life to the traditional auscultation CVD diagnosis, but also simplify CVD diagnosis greatly leading to extensive application of such an efficient non-invasive physical diagnostic method in e-home healthcare.
LanguageEnglish
Pages211-218
Number of pages8
JournalComputers in Biology and Medicine
Volume20
Issue number3
DOIs
Publication statusPublished - 2013

Fingerprint

Heart Sounds
Acoustic waves
Research
Cardiovascular Diseases
Musical instruments
Auscultation
Systems Analysis
Feature extraction
Concretes
Technology
Delivery of Health Care

Cite this

Fu, Bin Bin ; Fei, Xiao Lei ; Sekar, Boomadevi ; Dong, Ming Chui. / Research and Application of Heart Sound Alignment and Descriptor. 2013 ; Vol. 20, No. 3. pp. 211-218.
@article{9877bcfa93e045f582adb61c5c9d35a8,
title = "Research and Application of Heart Sound Alignment and Descriptor",
abstract = "The research and application of heart sound (HS) analysis for cardiovascular disease (CVD) diagnosis has attracted more attention recently. Unlike other relevant HS analysis research, such as HS detection/component segmentation, HS feature extraction/classification etc., the proposed research treats HS as a whole and focuses mainly on comparing the similarity of acoustical characteristics reflecting pathological condition between two HSs, one of which is HS under test and another is the HS with known CVD. The concrete procedure refers to alignment of the HS into sequence and evaluating the similarity index through complexity and similarity analysis. In accordance with specific characteristics of HS, several relevant technologies such as musical instrument digital interface (MIDI), binary coding, N-gram, Lempel-Ziv (L-Z) complexity as well as super-symmetric comparison distance (SCD) similarity metric etc. are researched to be adapted and cascaded to realize the aforementioned target successfully. The contribution lies in that the aligning schemes including binary and N-gram are thoroughly investigated and then testing results witnessing the superiority of using N-gram in proposed approach are presented. The success of such a novel approach would not only assign a the new life to the traditional auscultation CVD diagnosis, but also simplify CVD diagnosis greatly leading to extensive application of such an efficient non-invasive physical diagnostic method in e-home healthcare.",
author = "Fu, {Bin Bin} and Fei, {Xiao Lei} and Boomadevi Sekar and Dong, {Ming Chui}",
year = "2013",
doi = "10.1016/j.compbiomed.2012.11.002",
language = "English",
volume = "20",
pages = "211--218",
number = "3",

}

Research and Application of Heart Sound Alignment and Descriptor. / Fu, Bin Bin ; Fei, Xiao Lei; Sekar, Boomadevi; Dong, Ming Chui.

Vol. 20, No. 3, 2013, p. 211-218.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Research and Application of Heart Sound Alignment and Descriptor

AU - Fu, Bin Bin

AU - Fei, Xiao Lei

AU - Sekar, Boomadevi

AU - Dong, Ming Chui

PY - 2013

Y1 - 2013

N2 - The research and application of heart sound (HS) analysis for cardiovascular disease (CVD) diagnosis has attracted more attention recently. Unlike other relevant HS analysis research, such as HS detection/component segmentation, HS feature extraction/classification etc., the proposed research treats HS as a whole and focuses mainly on comparing the similarity of acoustical characteristics reflecting pathological condition between two HSs, one of which is HS under test and another is the HS with known CVD. The concrete procedure refers to alignment of the HS into sequence and evaluating the similarity index through complexity and similarity analysis. In accordance with specific characteristics of HS, several relevant technologies such as musical instrument digital interface (MIDI), binary coding, N-gram, Lempel-Ziv (L-Z) complexity as well as super-symmetric comparison distance (SCD) similarity metric etc. are researched to be adapted and cascaded to realize the aforementioned target successfully. The contribution lies in that the aligning schemes including binary and N-gram are thoroughly investigated and then testing results witnessing the superiority of using N-gram in proposed approach are presented. The success of such a novel approach would not only assign a the new life to the traditional auscultation CVD diagnosis, but also simplify CVD diagnosis greatly leading to extensive application of such an efficient non-invasive physical diagnostic method in e-home healthcare.

AB - The research and application of heart sound (HS) analysis for cardiovascular disease (CVD) diagnosis has attracted more attention recently. Unlike other relevant HS analysis research, such as HS detection/component segmentation, HS feature extraction/classification etc., the proposed research treats HS as a whole and focuses mainly on comparing the similarity of acoustical characteristics reflecting pathological condition between two HSs, one of which is HS under test and another is the HS with known CVD. The concrete procedure refers to alignment of the HS into sequence and evaluating the similarity index through complexity and similarity analysis. In accordance with specific characteristics of HS, several relevant technologies such as musical instrument digital interface (MIDI), binary coding, N-gram, Lempel-Ziv (L-Z) complexity as well as super-symmetric comparison distance (SCD) similarity metric etc. are researched to be adapted and cascaded to realize the aforementioned target successfully. The contribution lies in that the aligning schemes including binary and N-gram are thoroughly investigated and then testing results witnessing the superiority of using N-gram in proposed approach are presented. The success of such a novel approach would not only assign a the new life to the traditional auscultation CVD diagnosis, but also simplify CVD diagnosis greatly leading to extensive application of such an efficient non-invasive physical diagnostic method in e-home healthcare.

U2 - 10.1016/j.compbiomed.2012.11.002

DO - 10.1016/j.compbiomed.2012.11.002

M3 - Article

VL - 20

SP - 211

EP - 218

IS - 3

ER -