Multilead analysis of T-wave alternans in the ecg using principal component analysis
Abstract:
T-wave alternans (TWA) is a cardiac phenomenon associated with the mechanisms leading to sudden cardiac death. Several methods exist to automatically detect and estimate TWA in the ECG on a single-lead basis, and their main drawback is their poor sensitivity to low-amplitude TWA. In this paper, we propose a multilead analysis scheme to improve the detection and estimation of TWA. It combines principal component analysis with a single-lead method based on the generalized likelihood ratio test. The proposed scheme is evaluated and compared to a single-lead scheme by means of a simulation study, in which different types of simulated and physiological noise are considered under realistic conditions. Simulation results show that the multilead scheme can detect TWA with an SNR 30 dB lower and allows the estimation of TWA with an SNR 25 dB lower than the single-lead scheme. The two analysis schemes are also applied to stress test ECG records. Results show that the multilead scheme provides a higher detection power and that TWA detections obtained with this scheme are significantly different in healthy volunteers and ischemic patients, whereas they are not with the single-lead scheme. © 2006 IEEE.
Año de publicación:
2009
Keywords:
- T-wave alternans (TWA)
- Multilead analysis
- principal component analysis (PCA)
- eCG
Fuente:

Tipo de documento:
Article
Estado:
Acceso restringido
Áreas de conocimiento:
- Análisis de datos
- Ciencias de la computación
Áreas temáticas:
- Fisiología humana
- Enfermedades
- Ciencias de la computación