Physionet Challenge 2011: Improving the quality of electrocardiography data collected using real time QRS-complex and T-Wave detection

The Physionet Challenge [1] focused on discerning between usable and unusable electrocardiography (ECG) data tele-medically from mobile embedded devices. Based on our publications [2,3,4], we have designed a method to determine the quality of ECG data and its usability using an adaptation of the Tompkins et al [5] real time QRS detection algorithm. With our modifications to the algorithm to cater to a very short length of data, out method is able to differentiate with accuracy the usability of ECG data in training set A as well as test set B.