title: [Electrocardiograph beat pattern recognition].
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.
authors.affiliation: The Key Laboratory of Biomedical Engineering in Ministry of Education, Zhejiang University, Hangzhou 310027, China. zqy@vico-lab.com
authors.forename: Qunyi
authors.initials: Q
authors.lastname: Zhou
authors.forename: Xudong
authors.initials: X
authors.lastname: Lu
authors.forename: Huiling
authors.initials: H
authors.lastname: Duan
mesh_terms: D000465:Algorithms; D001145:Arrhythmias, Cardiac / Q000145:classification / Q000175:diagnosis*; D003936:Diagnosis, Computer-Assisted / Q000379:methods; D004562:Electrocardiography / Q000379:methods*; D006339:Heart Rate; D006801:Humans; D010363:Pattern Recognition, Automated / Q000379:methods*; D012815:Signal Processing, Computer-Assisted; D018879:Ventricular Premature Complexes / Q000175:diagnosis / Q000503:physiopathology