2006 Computers in Cardiology, 2006. Paper abstract bibtex
The aim of this study was to develop a reliable automated method of QT interval measurement for ECG signals, and to participate the PhysioNet/Computers in Cardiology Challenge 2006. A scheme based on Kalman filter was proposed to conduct beat segmentation and searching of the first representative beat from ECG waveform, and a wavelet based algorithm was used to detect the onset of QRS complex and the offset of T wave which yield the measurement ofQT interval. Our preliminary QT measurement results have been submitted to CinC for performance evaluation and further improvement to the algorithms and system is carried out.