title: [An algorithm study on telecardiogram diagnosis based on multivariate autoregressive model and two-lead ECG signals].
abstract: OBJECTIVE
  In view of the time delay caused by reconstruction of signals at remote sites, a direct classification method with high accuracy suitable for telediagnosis of electrocardiogram (ECG) signals is studied.
  
  
  METHODS
  The data for analysis and classification was obtained from MIT-BIH database, including 300 samples each of normal sinus rhythm (NSR), atria premature contraction (APC), premature ventricular contraction (PVC), ventricular tachycardia (VT), ventricular fibrillation (VF) and superventricular tachycardia (SVT). An multivariate autoregressive (MAR) model based technique that could combine the signals of two ECG leads was presented to classify the ECGs directly, including MAR modeling performed on ECGs, and quadratic discrimination function (QDF) based classification by using MAR coefficients and K-L MAR coefficients.
  
  
  RESULTS
  Besides quick and convenient diagnosis, the accuracy of the proposed classification algorithm was as high as 98.3%-100%.
  
  
  CONCLUSIONS
  The MAR modeling based technique is suitable for telecardiogram diagnosis. Comparing with single-lead ECGs, better classification results can be obtained through the combination of two-lead ECG signals.
authors.affiliation: Department of Information & Electrical Engineering, Zhe-jiang University of Science and Technology, Hangzhou, China. gedingfei@hotmail.com
authors.forename: Ding-fei
authors.initials: DF
authors.lastname: Ge
authors.forename: Yu-quan
authors.initials: YQ
authors.lastname: Shao
authors.forename: Hui-zhong
authors.initials: HZ
authors.lastname: Jiang
mesh_terms: D000465:Algorithms; D001145:Arrhythmias, Cardiac / Q000175:diagnosis*; D003936:Diagnosis, Computer-Assisted; D004562:Electrocardiography; D015233:Models, Statistical; D015999:Multivariate Analysis; D012044:Regression Analysis; D019114:Remote Consultation; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted; D012984:Software; D017216:Telemedicine