A New Real-time ECG R-wave Detection Algorithm

摘要：

A new real-time detection algorithm,which combines merits of the real-time detection algorithm proposed by Pan and the QRS detection algorithm based on Hilbert transform, is proposed to improve detection accuracy of ECG R-wave.The original data are firstly processed by using of Hilbert transform to improve the signal to noise ratio (SNR). Considering the quasi-periodic characteristics of the ECG, the adaptive threshold designed in Pans real-time detection algorithm is adopted to execute threshold detection for ECG waveform with small range. In this paper, the MIT/BIH Arrhythmia Database are used to verify the effectiveness of the proposed algorithm, and the results show an average R-wave detection accuracy of 99.37％ . Comparing with results obtained in other literatures, implementation of the algorithm is significantly simplified while the detection accuracy is not deteriorated.

关键词： ECG R-Wave Detection Real-Time Hilbert Transform

作者: Xiaomeng Cui

作者单位: Dept. of Automatic Testing & Control, Harbin Institute of Technology, Harbin, China

会议类型: 国际会议

会议名称: The 4th International Symposium on Computational Intelligence and Industrial Application(第四届国际计算智能和工业应用研讨会)

会议地点: 哈尔滨

会议语种:英文

页码: 297-301

在线出版日期: 2010-08-01（万方平台首次上网日期，不代表论文的发表时间）