Title :
Computer detection of non-stationary T wave alternans using a new correlation method
Author :
Burattini, L. ; Zareba, W. ; Couderc, J.P. ; Titlebaum, E.L. ; Moss, A.J.
Author_Institution :
Rochester Univ., NY, USA
Abstract :
Detection of microvolt T wave alternans (TWA) is a non-invasive method to identify patients at risk for sudden cardiac death. ECGs show that visible TWA is often nonstationary. Thus, the authors developed a new correlation method (CM) for TWA detection, and they tested CM´s ability to detect non-stationary TWA in comparison with an accepted spectral method (SM). In a simulation study CM and SM were used to evaluate stationary and non-stationary TWA of different amplitude. Other simulated conditions included: background noise, poor synchronization and windowing of the T waves; and amplitude respiration modulation of the T wave. In the authors´ comparison of CM and SM, they found that only CM was able to detect non-stationary TWA. CM was more robust to a poor synchronization and windowing of T waves, but affected more by high amplitude modulation than SM. Both CM and SM detected TWA in the presence of background noise
Keywords :
amplitude modulation; electrocardiography; medical signal processing; noise; signal detection; synchronisation; ECG analysis; accepted spectral method; amplitude respiration modulation; computer detection; correlation method; electrodiagnostics; noninvasive method; nonstationary T wave alternans; sudden cardiac death risk; Amplitude modulation; Background noise; Computational modeling; Correlation; Electrocardiography; Fibrillation; Noise robustness; Samarium; Spectral analysis; Testing;
Conference_Titel :
Computers in Cardiology 1997
Conference_Location :
Lund
Print_ISBN :
0-7803-4445-6
DOI :
10.1109/CIC.1997.648136