Research of Assistant Diagnosis System for Arrhythmias
Liu Fu-bin · Zhongguo yixue wulixue zazhi · 2010
Objective:Develop an assistant diagnosis system for arrhythmias 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 arrhythmias and get their membership and position. It could assist doctors in making the proper diagnosis on ECG potentially.