CAJ | 학술논문

本文利用数字信号处理和波形识别技术，对心电图的QRS波、P波、T波的时段进行了计算机的自动检测并对室性期前收缩等15种异常心电进行自动诊断。打印输出相应的诊断报告。为了检验本系统的稳定性和可信度，本文还利用美国麻省理工学院的MIT-BIH数据库对本文所使用的方法进行了检测，取得了较好的效果。
본문이용수자신호처리화파형식별기술，대심전도적QRS파、P파、T파적시단진행료계산궤적자동검측병대실성기전수축등15충이상심전진행자동진단。타인수출상응적진단보고。위료검험본계통적은정성화가신도，본문환이용미국마성리공학원적MIT-BIH수거고대본문소사용적방법진행료검측，취득료교호적효과。
The duration of QRS wave,P wave and T wave of ECG can be computerized auto-detected with digital signal process and waveform recognition technology. It can diagnose 15 kinds of abnormal ECG such as ventricular presystole automatically and print out corresponding diagnosis reports. In order to verify the systems stability and creditability, we used American MIT-BIH database to test our algorithms and got a good result.