A NEW Real-time ECG R-wave DetectionAlgorithm

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 realtime 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 error rate of 0.63％. Comparing with results obtained in other literatures, implementation of the algorithm is significantly simplified while the detection accuracy is favorable.

关键词： Signal Processing ECG R-wave detection Real-time Hilbert transform

作者: Cui Xiaomeng

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

会议类型: 国际会议

会议名称: The 6th International Forum on Strategic Technology(IFOST 2011)(第六届国际战略技术论坛)

会议地点: 哈尔滨

会议语种:英文

页码: 1252-1255

在线出版日期: 2011-08-22（万方平台首次上网日期，不代表论文的发表时间）