Title :
Efficient and reliable detection of QRS-segment in ECG signals
Author :
Anand, R.S. ; Kumar, V.
Author_Institution :
Dept. of Electr. Eng., Indian Inst. of Technol., Kharagpur, India
Abstract :
Reports a simple and efficient method to detect the QRS-segment in ECG signals. The method suggested by the authors is implemented in two steps. Step I involves the detection of R-peaks which is accomplished after three main operations: bandpass filtering, 3-sample area estimation and M-sample window averaging with thresholding. While the bandpass filtering suppresses the noise, the 3-sample area estimation enhances the the signal to noise ratio (SNR) and hence the detectability of R-peaks. Finally, the M-sample window averaging smooths the R-peak envelopes. The thresholding pinpoints the R-peaks. After R-peaks are detected their location is confirmed in Step II which also marks the location of the Q and S points, resulting in determination of the respective QRS-segments
Keywords :
electrocardiography; medical signal processing; 3-sample area estimation; ECG signals; M-sample window averaging; QRS-segment; R-peaks detection; band pass filtering; electrodiagnostics; medical signal analysis; signal to noise ratio; thresholding; Band pass filters; Detectors; Electrocardiography; Filtering; Frequency estimation; Hidden Markov models; Maximum likelihood detection; Nonlinear filters; Signal processing; Signal to noise ratio;
Conference_Titel :
Engineering in Medicine and Biology Society, 1995 and 14th Conference of the Biomedical Engineering Society of India. An International Meeting, Proceedings of the First Regional Conference., IEEE
Conference_Location :
New Delhi
Print_ISBN :
0-7803-2711-X
DOI :
10.1109/RCEMBS.1995.511734