An approach to determine myocardial ischemia by hidden Markov models

被引：5
|
作者：
Tang, Xiaoying [1 ]
Xia, Li [1 ]
Liu, Weifeng [1 ]
Peng, Yuhua [1 ]
Gao, Tianxin [1 ]
Zeng, Yanjun [2 ]
机构：
[1] Beijing Inst Technol, Sch Life Sci & Technol, Beijing 100081, Peoples R China
[2] Beijing Univ Technol, Biomech & Med Informat Inst, Beijing 100022, Peoples R China
来源：
COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING | 2012年 / 15卷 / 10期
关键词：
myocardial ischemia; hidden Markov models; feature extraction; model training; ECG;
D O I：
10.1080/10255842.2011.570341
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
A hidden Markov model (HMM) of electrocardiogram (ECG) signal is presented for detection of myocardial ischemia. The time domain signals that are recorded by the ECG before and during the episode of local ischemia were pre-processed to produce input sequences, which is needed for the model training. The model is also verified by test data, and the results show that the models have certain function for the detection of myocardial ischemia. The algorithm based on HMM provides a possible approach for the timely, rapid and automatic diagnosis of myocardial ischemia, and also can be used in portable medical diagnostic equipment in the future.
引用
收藏
页码：1065 / 1070
页数：6
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