Study of Individual Cardiogram Waveform Automatic Selection in Holter

摘要：

The paper studied the automatic selection method on dynamic electrocardiogram (Holter).Firstly,the features of electrocardiogram (ECG)waveform were extracted by wavelet transform.Secondly,clustering working was done on first 3000 ECG waveforms by Self Organization Map neural network (SOM), from which,labeled sample waveforms were gotten.In the end,back propagation (BP)neural network were used for ECG waveform classification.From the experiment result,the ECG R wave recognizing rate was up to 99.5％ by wavelet transform.According to the labeled sample that clustered by SOM,BP neural network can correctly classify ECG wave in 95％.The methods for automatic selection of Holter data can be used for real work.

作者: Zheng Gang Huang Yalou

作者单位: School of Computer Science and Technology ,Tianjin University of Technology No.263,Hongqinan Road,Ti College of Software,Nankai University No.94 Weijin Road,Tianjin 300071,China

会议类型: 国际会议

会议名称: 2007 IEEE/ICME International Conference on Complex Medical Engineering-CME2007(CME2007 第二届国际复合医学工程学术大会)

会议地点: 北京

会议语种:英文

页码: 812-815

在线出版日期: 2007-05-23（万方平台首次上网日期，不代表论文的发表时间）