Research of Assistant Diagnosis System for Arrhythmias / 中国医学物理学杂志

ABSTRACT

Objective: Develop an assistant diagnosis system for arrhythinias which can reduce doctors' workload and improve their veracity of diagnosing ECG. Methods: Firstly, this paper achieves filter and detection of waves using wavelet transform and extracts parameters; Secondly, it reduces parameters using rough set and identifies arrhythmias according to relevant rules; At last, it gets the membership of abnormal heart beat by fuzzy neural network. Results: The main modules such as filter, detection of waves and identification of arrhythmias are achieved well, and a complete system is formed. Conclusions: This system can identify nineteen arrhythmaias and get their membership and position. It could assist doctors in making the proper diagnosis on ECG potentially.