Heart murmur detection/classification using Cochlea-Like Pre-Processing and Artificial Intelligence

被引：6

作者：

Ahmad, W. ^{[1
]}

Hayee, M. I. ^{[2
]}

Fitzakerley, J. L. ^{[3
]}

Burns, S. ^{[4
]}

Nordehn, G. ^{[5
]}

机构：

[1] Univ North Dakota Grand Forks, Dept Elect Engn, Upson Hall 2,Room 160,243 Centennial Dr Stop 7165, Grand Forks, ND 58202 USA

[2] Univ Minnesota, Dept Elect Engn, Duluth, MN 55812 USA

[3] Univ Minnesota, Med Sch Duluth, Dept Physiol & Pharmacol, Duluth, MN 55812 USA

[4] Univ Minnesota, Dept Elect Engn, Duluth, MN 55812 USA

[5] Univ Minnesota, Med Sch Duluth, Dept Family & Community Hlth, Duluth, MN 55812 USA

来源：

INTERNATIONAL JOURNAL OF BIOMEDICAL ENGINEERING AND TECHNOLOGY | 2011年 / 7卷 / 01期

关键词：

heart murmurs; detection/classification; AI; artificial intelligence; human cochlea; CLPP; Cochlea-like pre-processing; ANN; artificial neural network;

D O I：

10.1504/IJBET.2011.042500

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

In this research paper, we used a novel approach to pre-process the heart sound signals by altering the electrical signal in a similar way as is done by human cochlea before they go to Artificial Intelligence (AI) for murmur detection/classification. Cochlea-like pre-processing changes the spectral contents of the heart sounds to enhance the murmur information which can then be detected/classified more accurately by AI circuitry. We designed a heart murmur detection/classification system based upon this approach and tested this system using simulated sounds of various murmur types. Our test results show that this approach significantly improves heart murmur detection/classification accuracy.

引用

页码：87 / 96

页数：10

共 22 条

[1] Detection of heart murmurs using wavelet analysis and artificial neural networks
Andrisevic, N
Ejaz, K
Rios-Gutierrez, F
Alba-Flores, R
Nordehn, G
Burns, S
[J]. JOURNAL OF BIOMECHANICAL ENGINEERING-TRANSACTIONS OF THE ASME, 2005, 127 (06): : 899 - 904
[2] Role of primary care in early diagnosis and effective management of COPD
Bellamy, D.
Smith, J.
[J]. INTERNATIONAL JOURNAL OF CLINICAL PRACTICE, 2007, 61 (08) : 1380 - 1389
[3] Cardiac sound murmurs classification with autoregressive spectral analysis and multi-support vector machine technique
Choi, Samjin
Jiang, Zhongwei
[J]. COMPUTERS IN BIOLOGY AND MEDICINE, 2010, 40 (01) : 8 - 20
[4] Diagnosis of valvular heart disease through neural networks ensembles
Das, Resul
Turkoglu, Ibrahim
Sengur, Abdulkadir
[J]. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2009, 93 (02) : 185 - 191
[5] DeGroff CG, 2001, CIRCULATION, V103, P2711
[6] Digital Auscultation Analysis for Heart Murmur Detection
Delgado-Trejos, Edilson
Quiceno-Manrique, A. F.
Godino-Llorente, J. I.
Blanco-Velasco, M.
Castellanos-Dominguez, G.
[J]. ANNALS OF BIOMEDICAL ENGINEERING, 2009, 37 (02) : 337 - 353
[7] Gupta C.N., 2005, P IEEE CCECE CCGEI S, P1674
[8] A Silicon Model Of Auditory Localization
Lazzaro, John
Mead, Carver A.
[J]. NEURAL COMPUTATION, 1989, 1 (01) : 47 - 57
[9] Leung TS, 2000, P ANN INT IEEE EMBS, V22, P988, DOI 10.1109/IEMBS.2000.897889
[10] AN ANALOG ELECTRONIC COCHLEA
LYON, RF
MEAD, C
[J]. IEEE TRANSACTIONS ON ACOUSTICS SPEECH AND SIGNAL PROCESSING, 1988, 36 (07): : 1119 - 1134

← 1 2 3 →