Electrocardiograph beat pattern recognition.
- Author:
Qunyi ZHOU
1
;
Xudong LU
;
Huiling DUAN
Author Information
1. The Key Laboratory of Biomedical Engineering in Ministry of Education, Zhejiang University, Hangzhou 310027, China. zqy@vico-lab.com
- Publication Type:Journal Article
- MeSH:
Algorithms;
Arrhythmias, Cardiac;
classification;
diagnosis;
Diagnosis, Computer-Assisted;
methods;
Electrocardiography;
methods;
Heart Rate;
Humans;
Pattern Recognition, Automated;
methods;
Signal Processing, Computer-Assisted;
Ventricular Premature Complexes;
diagnosis;
physiopathology
- From:
Journal of Biomedical Engineering
2005;22(1):202-206
- CountryChina
- Language:Chinese
-
Abstract:
It is very important to recognize arrhythmia in clinical electrocardiography (ECG) analysis. The fundamental of beat pattern recognition is presented in this paper. Various prevalent methods for arrhythmia recognitiion are categorized and summarized, based on which the advantages and disadvantages among the methods are compared, and the main problems are discussed in depth. At last, the development trend of arrhythmia recognition technology is pointed out.
