Classification of cardiac arrhythmias using fuzzy ARTMAP

被引：93

作者：

Ham, FM

Han, S

机构：

[1] Florida Institute of Technology, Electrical Engineering, Melbourne, FL 32901 6988

[2] Florida Institute of Technology, Electrical Engineering, Melbourne

来源：

IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING | 1996年 / 43卷 / 04期

关键词：

D O I：

10.1109/10.486263

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

We have investigated the QRS complex, extracted from electrocardiogram (EGG) data, using fuzzy adaptive resonance theory mapping (ARTMAP) to classify cardiac arrhythmias. Two different conditions have been analyzed: normal and abnormal premature ventricular contraction (PVC), Based on MIT/BIH database annotations, cardiac beats for normal and abnormal QRS complexes were extracted from this database, scaled, and Hamming windowed, after bandpass filtering, to yield a sequence of 100 samples for each QRS segment, From each of these sequences, two linear predictive coding (LPC) coefficients were generated using Burg's maximum entropy method, The two LPC coefficients, along with the mean-square value of the QRS complex segment, were utilized as features for each condition to train and test a fuzzy ARTMAP neural network for classification of normal and abnormal PVC conditions, The test results show that the fuzzy ARTMAP neural network can classify cardiac arrhythmias with greater than 99% specificity and 97% sensitivity.

引用

页码：425 / 430

页数：6

共 27 条

[1] FUZZY ART - FAST STABLE LEARNING AND CATEGORIZATION OF ANALOG PATTERNS BY AN ADAPTIVE RESONANCE SYSTEM [J].

CARPENTER, GA ;

GROSSBERG, S ;

ROSEN, DB .

NEURAL NETWORKS, 1991, 4 (06) :759-771

[2] FUZZY ARTMAP - A NEURAL NETWORK ARCHITECTURE FOR INCREMENTAL SUPERVISED LEARNING OF ANALOG MULTIDIMENSIONAL MAPS [J].

CARPENTER, GA ;

GROSSBERG, S ;

MARKUZON, N ;

REYNOLDS, JH ;

ROSEN, DB .

IEEE TRANSACTIONS ON NEURAL NETWORKS, 1992, 3 (05) :698-713

[3] ECG ANALYSIS BASED ON HILBERT TRANSFORM DESCRIPTOR [J].

CHANG, WH ;

LIN, KP ;

TSENG, SY .

PROCEEDINGS OF THE ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, PTS 1-4, 1988, :36-37

[4]

CHEUNG JY, 1989, P ANN INT C IEEE ENG, P2015

[5]

HAM FM, 1993, P WORLD C NEURAL NET, V1, P207

[6]

HAM FM, 1982, P IEEE ENG MED BIOL, P288

[7]

*HARV U MIT DIV HL, 1992, TR010 MIT BMEC HARV

[8]

Hung B. N., 1987, Proceedings of the Ninth Annual Conference of the IEEE Engineering in Medicine and Biology Society (Cat. No.87CH2513-0), P497

[9]

Hung B. N., 1986, Proceedings of the Eighth Annual Conference of the IEEE/Engineering in Medicine and Biology Society (Cat. No. 86CH2368-9), P292

[10] THE APPLICATION OF NEURAL NETWORKS TO MYOELECTRIC SIGNAL ANALYSIS - A PRELIMINARY-STUDY [J].

KELLY, MF ;

PARKER, PA ;

SCOTT, RN .

IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 1990, 37 (03) :221-230

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