Presence of T wave alternans in the statistical context - A new approach to low amplitude alternans measurement

Computers in Cardiology

Volumn 29, Issue , 2002, Pages 681-684

  Srikanth, Thiagarajan ^a,c   Lin, D ^a   Kanaan, N ^a   Gu, H ^b  

^a Cardiac Science Inc   (United States)

^b LOUISIANA TECH UNIVERSITY   (United States)

^c NONE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL METHODS; COMPUTER SIMULATION; DATA ACQUISITION; DATABASE SYSTEMS; FOURIER TRANSFORMS; PROBLEM SOLVING; SIGNAL PROCESSING; STATISTICAL TESTS;

SIGNAL LEVELS;

ELECTROCARDIOGRAPHY;

EID: 0036955407     PISSN: 02766574     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (8)

1. Smith JM, Clancy EA, Valeri CR, Ruskin JN, Cohen RJ. Electrical alternans and cardiac electrical instability. Circulation 1988;77:110-121.
2. Verrier RL, Nearing BD. Electrophysiological Basis for T Wave Alternans as an Index of Vulnerability to Ventricular Fibrillation. J Cardiovasc Electrophysiol 1994;5:445-461.
3. Burattini L, Zareba W, Couderc JP, Titlebaum EL, Moss AJ. Computer Detection of Non-Stationary T Wave Alternans using a New Correlation Method. Computers in Cardiology 1997;24: 657-660.
4. Rosner B. Fundamentals of Biostatistics, USA: Duxbury Press, 1995.
5. Mardia KV. Statistics of directional data. New York: Academic Press, 1972.
6. Srikanth T, Lin D, Kanaan N. Assumption of Normality and Independence in T wave parameters within Each Subject, in communication.
7. Martinez JP, Olmos S, Laguna P. T Wave Alternans Detection: A Simulation Study and Analysis of the European ST-T Database, Computers in Cardiology 2000;27:155-158.
8. th IEEE-EMBS/BMES 2002:24.