Automatic Detection of QRS Onset in ECG Signals

摘要：

In this paper, a new modified method based on the multi-scale morphological derivative (MMD) transform technique is described for the detection of QRS onset in ECG signals. According to our experiments, we find the criterions of wave classification, the appropriate value of threshold and transform scales. When these are all settled down, this algorithm can set different scales to perform the MMD transform according to different lengths of QRS waves.By testing our method with ECG data from CSE database, we prove that our method can process lots of signals with various waveforms efficiently.

作者: YANG Shuo BIAN Desong

作者单位: College of Precision Instrument,TianJin University,TianJin,300072,China Department of Electronic Engineering,TianJin University,TianJin,300072,China

会议类型: 国际会议

会议名称: 2008 IEEE International Symposium on IT in Medicine and Education(2008信息技术在医学和教育中的应用国际研讨会)(ITME 2008)

会议地点: 厦门

会议语种:英文

页码: 291-294

在线出版日期: 2008-12-12（万方平台首次上网日期，不代表论文的发表时间）