On the post-design aspects of human/animalelectrocardiogram P-QRS-T detection algorithms

This paper describes how one can design a computer program and implement it on an ordinary PC or PDA for detecting very long duration electrocardiogram (ECG) PQRST events with processing capability (time complexity) of less than 1300 clock/samples, with an accuracy of more than 99.86%. For detecting and delineating QRS complexes, a noise-robust instantaneous concavity analysis was applied. For detecting and delineating P- and T-waves, the analysis of local extremums of the QRS-eliminated signal was used. The proposed method was applied to several databases (more than 1,000,000 beats; normal or abnormal) with dierent sampling frequencies and bit-rates. After application of the algorithm, the average detection sensitivity, Se = 99:96%, and positive predictivity, P+ = 99:94%, were obtained for the QRS complex. The average delineation errors were about ??3:0 msec, 2.5 msec and 2.8 msec for P-QRS-T events, respectively. By implementing the proposed algorithm computer program to selected databases, the required variation for the core parameter sets of the program was about 0:0% for all sampling frequencies and bit rates. The maximum computational complexity required during application of the method to databases was estimated to be lower than 1300 clocks/sample. These merits make the algorithm eligible for implementation by a mobile-phone or PDA.