摘要
心电图诊断是临床常规检查之一。医生常常需要分析心电波形形态上的各种特征,做出临床诊断,因此它对心血管疾病具有重要(诊断)价值。通过对心房肥大、心室肥厚、窦性心律紊乱三类常见心脏疾病的心电图诊断标准分析,采用人工神经网络方法进行心电波形分类算法研究,验证了给出的神经网络算法是可行的。
Electronic cardiogram diagnosis, one of the general clinic checking, has important value for cardiovascular diseases. Doctors usually need to analyze and make clinic diagnosis by all kinds of characters from electric wave. The paper mainly analyzes the wave of three cardiovascular diseases, atrial hypertrophy, ventricle plump, and sinus rhythm turbulence. We introduce an artificial neural network to classify cardinal electric wave and finally the results verify the feasibility of artificial neutral network.
出处
《北京生物医学工程》
2008年第1期41-43,71,共4页
Beijing Biomedical Engineering
关键词
心电图
诊断标准
分类
cardiogram
diagnosis criterion
classification
