A new application of rough set to ECG recognition

Author

Huang, Xian-Ming ; Zhang, Yan-Hong

Author_Institution

Coll. of Electron. Information & Control Eng., Beijing Univ. of Technol., China

Volume

3

fYear

2003

fDate

2-5 Nov. 2003

Firstpage

1729

Abstract

When recognizing and analyzing wave signals in electrocardiogram (ECG) automatically, present methods have some limitation and do not meet physicians´ expectations. A new application of rough set to ECG recognition is presented. Firstly the recognition rules for characteristic points in ECG are reduced by using rough set theory. Then the reduced rules are used as restriction conditions of eigenvalue determination arithmetic which is presented in this paper and employed in recognizing characteristic points in ECG. There are some discussions about correlative arithmetic such as sizer method, difference method and how to choose difference parameters. Also in this paper, an example of this new application is discussed. We adopt MIT-BIH data to verify R wave recognition and the detection rate is proved higher than the one of routine recognition method.

Keywords

eigenvalues and eigenfunctions; electrocardiography; medical signal detection; rough set theory; ECG recognition; correlative arithmetic; detection rate; difference method; difference parameters; eigenvalue determination arithmetic; electrocardiogram; rough set theory; routine recognition method; sizer method; wave recognition; wave signal analysis; Arithmetic; Cardiac disease; Character recognition; Educational institutions; Eigenvalues and eigenfunctions; Electrocardiography; Filters; Information analysis; Set theory; Signal analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2003 International Conference on

Print_ISBN

0-7803-8131-9

Type

conf

DOI

10.1109/ICMLC.2003.1259776

Filename

1259776