Title :
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
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;
Conference_Titel :
Control and Decision Conference (CCDC), 2012 24th Chinese
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4577-2073-4
DOI :
10.1109/CCDC.2012.6243001
