The application of pattern recognition technology in the diagnosis and analysis on the heart disease: Current status and future

Author

Jin, Feiming ; Liu, Jihong ; Hou, Weigang

Author_Institution

Sino-Dutch Biomed. & Inf. Eng. Sch., Northeastern Univ., Shenyang, China

fYear

2012

fDate

23-25 May 2012

Firstpage

1304

Lastpage

1307

Abstract

Electrocardiography (ECG) is an important tool for the doctor to analyze the basic function and pathology of the heart. Consequently, it is significant to perform the pattern recognition oriented feature extraction and waveform classification on the ECG signal. In this paper, we first present the world-wide risk of the heart disease and the motivation of introducing pattern recognition technology into the ECG data analysis. Next, we state in detail the current status of researches on the ECG pattern recognition technology as well as compare the commonly used methods of detection, analysis and classification. In the final, we discuss the prospect and the future issues on the ECG pattern recognition technology according to the advantage and disadvantage of the current methods for ECG data analysis.

Keywords

data analysis; diseases; electrocardiography; medical signal detection; pattern recognition; signal classification; ECG data analysis; ECG pattern recognition technology; ECG signal; analysis method; classification method; detection method; electrocardiography; heart disease analysis; heart disease diagnosis; pattern recognition oriented feature extraction; waveform classification; Diseases; Electrocardiography; Feature extraction; Heart; Hidden Markov models; Neural networks; Pattern recognition; Electrocardiography (ECG); Heart disease; Pattern recognition technology;

fLanguage

English

Publisher

ieee

Conference_Titel

Control and Decision Conference (CCDC), 2012 24th Chinese

Conference_Location

Taiyuan

Print_ISBN

978-1-4577-2073-4

Type

conf

DOI

10.1109/CCDC.2012.6243001

Filename

6243001