室性早搏的实时检测方法研究  

A Real-time Detection Method for Premature Ventricular Contraction

作　　者：周荷琴[1] 冯焕清[1] 孙景群[1] 江朝晖[1] 王涛[1] 

机构地区：[1]中国科学技术大学,合肥230026

出　　处：《电路与系统学报》1999年第4期86-90,共5页Journal of Circuits and Systems

基　　金：国家自然科学基金!39570214

摘　　要：本文尝试用模糊推理方法模仿人的知识表达和推理过程，并与神经网络相结合，实现心电图（ECG）中的室性早搏实时自动检测。用MIT心律失常数据库对算法所作的评价结果表明，该算法是异位心掉自动检测的一个有效方法。This paper presents a detecting method for Premature Ventricular Contraction (PVC) in electrocardiograph(ECG), in which knowledge presentation and reasoning process of human being are simulated as fuzzy reasoning. Combinedwith neural network technology, this method can be used to detect PVCs in real-time automatically. The test results based onMIT arrhythmia database indicate that this method is useful for the detection of ectopic heedbeat.

关 键 词：模糊推理 神经网络 室性早搏 心电图 

分 类 号：R540.41[医药卫生—心血管疾病] TH772[医药卫生—内科学]