Title :
Estimation of low level alternans using periodicity transform - simulation and European ST/T database results
Author :
Srikanth, T. ; Lin, D. ; Kanaan, N. ; Gu, H.
Author_Institution :
Cardiac Sci. Inc., Irvine, CA, USA
Abstract :
The periodicity transform (PT) provides a computationally efficient approach to detect the presence and estimate the amplitude of low level T wave alternans from surface ECG recordings. The objective of this study was to evaluate the performance of PT in a set of artificially generated alternans episodes and in the European ST (EST) database. The first set of simulations generated a numerical sequence of alternans pattern. The second set generated alternans patterns in identical, simulated beats in random locations. In each beat, T wave peak, T wave area around the peak, and variances of four T wave segments at constant intervals from the R fiducial point were utilized for alternans detection. Application of PT to the above simulations resulted in 100% sensitivity to alternans. Performance of PT under noisy conditions was robust, even at noise-to-signal ratio of -5 dB. Application of PT to ECG records in the EST database detected multiple episodes of T wave alternans. In conclusion, PT provides complimentary information to increase the detection accuracy of T wave alternans in surface ECG.
Keywords :
electrocardiography; medical signal detection; medical signal processing; pattern classification; time series; transforms; ECG records; European ST database; R fiducial point; T wave area; T wave peak; T wave segments; amplitude; artificially generated alternans episodes; computationally efficient approach; detection accuracy; low level T wave alternans; low level alternans; noise-to-signal ratio; noisy conditions; numerical sequence; periodicity transform; random locations; sensitivity; simulated beats; surface ECG recordings; Amplitude estimation; Computational modeling; Databases; Electric variables measurement; Electrocardiography; Fourier transforms; Noise robustness; Numerical simulation; Signal to noise ratio; Surface waves;
Conference_Titel :
Engineering in Medicine and Biology, 2002. 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society EMBS/BMES Conference, 2002. Proceedings of the Second Joint
Print_ISBN :
0-7803-7612-9
DOI :
10.1109/IEMBS.2002.1106453
