心电图识别与分类:方法、问题和新途径  

ECG Recognition and Classification:Approaches, Problems and New Method

作　　者：董军[1] 徐淼[1] 詹聪明[1] 鲁魏峰 

机构地区：[1]华东师范大学软件学院,上海200062 [2]上海吉量软件科技有限公司,上海200031

出　　处：《生物医学工程学杂志》2007年第6期1224-1229,共6页Journal of Biomedical Engineering

基　　金：国家自然科学基金资助项目(30570584);国家重点基础研究发展规划(973)项目资助(2005CB321904);上海市科委基础研究重点项目资助(06JC14058);上海市优秀学科带头人计划(07XD14203)

摘　　要：心脏病是现代社会的高发病,如何及时识别病兆并诊断始终是人类面临的严重问题。心电图(electrocardiogram,ECG)的自动识别既是医学不断努力追求的重要目标,也是计算机科学面临的明确问题。本文回顾ECG识别的基本方法,分析其特征;在医生判断ECG过程的经验基础上,提出基于形象思维的新思路;在我们研发完成的可穿戴无线心电信号监护仪这一产品中,融合了结合形态参数的ECG识别的新方法。How to recognize and diagnose heart diseases, as one of the most frequent issues, is a serious problem. ECG automation recognition is not only the target of medicine, but also the work of computer science. In this paper, the approaches to ECG recognition are reviewed, and their characters are analyzed. With the background of wearable wireless ECG monitor, on the basis of experts＇ experience in ECG recognition, the imagery thinking-based new method, in which morphology parameters are considered, is presented.

关 键 词：心电图 形态 经验 形象思维 分类 识别 方法 

分 类 号：R319[医药卫生—基础医学]