【摘要】 新一代心电图(Electrocardiography,ECG)系统中,可以使用可穿戴设备来监测人体生理信号。心电图信号是一种生物医学信号,基本上与人体心脏的电活动相对应,根据其波形可以初步判断人体是否存在疾病。本文首先对ECG信号进行了预处理,然后使用自适应阈值对QRS波进行定位,最后使用支持向量机对心电信号进行分类。基于MIT-BIH数据库的实验表明,该方法的敏感度达99.65%,正预测率达99.41%。更多还原

【Abstract】 In the new generation of electrocardiography(ECG)system,wearable devices can be used to monitor human physiological signals. The electrocardiogram signal is a biomedical signal,which basically corresponds to the electrical activity of the human heart. According to its waveform,it can be preliminarily judged whether the human body has disease. This paper first preprocessed the ECG signal,then used the adaptive threshold to locate the QRS wave,and finally used the Support Vector Machine to classify the ECG signal. Experiments based on the MIT-BIH database show that the sensitivity of this method is99.65%,and the positive prediction rate is99.41%.更多还原