P97: T-wave Alternans - Physionet Challenge
Tuesday, September 16, 2008, 16:45

Correlation between Multifractal Spectrum Based on Wavelet Leaders and T-Wave Alternans
AR Cardo, A Corvalan*

New Method for the Detection of T-Wave Alternans in Basis of Walsh Functions
OV Melnik*

Implementing Wavelet Transform in Detecting and Quantifying T-Wave Alternans
H Khorrami, M Moavenian, M Homaeinejad*

T-Wave Alternans Detection and Classification Analysis over Databases from Physionet
E Moreno-Martínez*, M Blanco-Velasco, P Amo-López, JP Martínez

A Multimethod Approach for Automatic Detection and Estimation of T-Wave Alternans
R Rajabi*, H Ghassemian

Principal Component Analysis Based Method for Detection and Evaluation of ECG T-Wave Alternance
R Simoliuniene*, A Krisciukaitis, A Macas, G Baksyte,
V Saferis, R Zaliunas

Detecting and Quantifying T-Wave Alternans Using the Correlation Method and Comparison with the FFT-Based Method
A Ghaffari, M Atarod, MR Homaeinejad*, A Jalali, R Rahmani

Quantification of T-Wave Alternans Using Reconstructed Phase-Space Characteristics
S Parvaneh*, RM Hashemi, SMP Firoozabadi, AM Nasrabadi

Hybrid Detector for the T Wave Alternans Challenge
O Meste*, R Alegre de la Soujeole

Nonlinear Detection of T-Wave Alternans
H Väänänen*

An Artificial Multi-Channel Model for Generating Abnormal Electrocardiographic Rhythms
GD Clifford*, R Sameni