A Method of Continuous Wavelet Transform for QRS Wave Detection in ECG Signal

摘要：

Reliable detection of QRS is not only the important basis for diagnosis of arrhythmia, but also the further analysis of other detail ECG information can be defined through the detected QRS wave. According to the relationship of singular point, Lipschitz exponent and wavelet transform maximum modulus, a method called zero-crossings is introduced to detect QRS complex waves. With properly selected mother wavelet, 99.40％ accuracy of QRS complex detection is reached, the proposed method has been tested with MIT-BIH arrhythmia database. Experiment results show that it can deal with the QRS complex with arbitrary number of waves.

关键词： ECG signal Continuous wavelet transform QRS wave Zero-crossing detection

作者: Qi Haibing Liu Xiongfei Pan Chao

作者单位: School of Electric and Electronic Information Engineering, Huangshi Institute of Technology, Huangsh School of Physics Science and Technology, Central South University of Technology, Changsha 410083, C

会议类型: 国际会议

会议名称: 2010 International Conference on Intelligent Computation Technology and Automation(2010 智能计算技术与自动化国际会议 ICICTA 2010)

会议地点: 长沙

会议语种:英文

页码: 22-25

在线出版日期: 2010-05-11（万方平台首次上网日期，不代表论文的发表时间）