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Detection of ECG characteristic features using slope thresholding and relative magnitude comparison.pdf

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Detection of ECG characteristic features using slope thresholding and relative magnitude comparison

Figure 1 Detection of ECG Characteristic Features Using Slope Thresholding and Relative Magnitude Comparison Deboleena Sadhukhan Electronics and Instrumentation Engineering Department College of Engineering and Management, Kolaghat Kolkata, India deboleena.rainbow@, dsk@cemk.ac.in Madhuchhanda Mitra Applied Physics Department University of Calcutta Kolkata, India madhuchhanda94@ Abstract— The paper proposes a simple and efficient algorithm for automatic detection of the characteristic points (Q, R, S, T, P peaks and onset and offset points) from a single lead digital ECG data. The squared double difference signal of the ECG data is used to localize the QRS regions and the significant peak in the QRS regions are detected by relative magnitude comparison and peak intervals are processed according to some criteria to ensure accuracy of detection. Next the other peaks in the QRS region are detected with respect to the significant peak to make the algorithm adaptive to different QRS morphologies. The T wave features are then detected by magnitude and slope threshold based search on selected windows. The performance of the algorithm is tested on 12-lead ECG data from the PTB diagnostic ECG database, and a high detection sensitivity of 99.8% is detected. Keywords- ECG characteristic points; squared double difference; slope thresholding; relative magnitude comparison; I. INTRODUCTION The electrocardiogram (ECG) is the recording of the electrical activity of the myocardium during one cardiac cycle and is characterized by a recurrent sequence of P, QRS, T and a conditional U wave. ECG is recorded by placing electrodes on the body surface and a standard 12 lead system is used to get an overall view of the hearts activity [1]. ECG is used as an important diagnostic tool for various cardiac diseases due to the ability to correlate the different ECG wave signatures with the actual operation of the heart and its ease of rec