A Robust Algorithm for R-peak Detection in an ECG Waveform Using Local Threshold Computed over a Sliding Window
(0) Detection of the R peak in an ECG signal is central to detection of arrhythmia. Fast reliable methods to detect R peaks in a ECG signal thus assume great importance, particularly in emerging applications such as automatic mobile based monitoring of a patients cardiac condition. In this paper, we propose a fast R-peak detection algorithm that uses adaptive thresholding to compute the locations of the R-peaks. Thresholds for detecting peaks are computed based on differentiated ECG signal over a sliding window. This ensures that the computed threshold takes into account local characteristics of the signal thus resulting in higher peak detection accuracy. The proposed algorithm was tested over the MIT-BIH arrhythmia database and accuracy of the peak detection was verified with the doctors annotation. Its performance was compared with Pan-Tompkins (PT) 1| and Difference Operation Method (DOM) |2| algorithm. The proposed algorithm shows better accuracy in peak detection compared to them.
ECG R-peak QRS complex real-time accurate
Deep Bera Ajit S. Bopardikar Rangavittal Narayanan Heasoo Hwang Seokjin Hong
Samsung Advanced Institute of Technology
国际会议
三亚
英文
278-283
2011-03-25（万方平台首次上网日期，不代表论文的发表时间）