Session PB3.3

A Robust Electrocardiogram Delineation Algorithm Based on FIR Filter Bank

A Ghaffari, MR Homaeinezhad*, M Akraminia, M Atarod, M Davaeeha

K. N. Toosi University of Technology
Tehran, Iran

A robust ECG wave detection-delineation algorithm which can be applied to all ECG leads is developed in this study on the basis of discrete- wavelet transform (DWT). By applying a new simple approach to a selected scale obtained from DWT, this method is capable of detecting QRS complex, P-wave and T-wave as well as determining parameters such as start time, end time, and wave sign (upward or downward). In the proposed method, a window with a specific length is slid sample to sample on the selected scale and the curve length in each window is multiplied by the area under the absolute value of the curve. In the next step, an adaptive thresholding criterion is conducted on the resulted signal. The presented algorithm is applied to various databases including MIT-BIH Arrhythmia Database, European ST-T Database, QT Database, CinC Challenge 2008 Database as well as high resolution Holter (MEDSET-1000Hz, 3-Channel, 32-bits) data gathered in the DAY Hospital. As a result, the values of 99.91% and 99.94% were obtained for the detection of QRS complexes with the average maximum delineation error of 15msec, 10msec and 11msec for P-wave, QRS Complex and T-wave, respectively. The presented algorithm has considerable capability in cases of low signal to noise ratio, high baseline wander, and in such cases that QRS complexes and T-waves appear with abnormal morphologies.

(Abstract Control Number: 159)