Ischemic episode detection using an Artificial Neural Network trained with isolated ST-T segments

Computers in Cardiology

Volumn , Issue , 1999, Pages 53-56

  Frenkel, D ^b   Nadal, Jurandir ^a  

^a FEDERAL UNIVERSITY OF RIO DE JANEIRO   (Brazil)

^b NONE

Author keywords

[No Author keywords available]

Indexed keywords

FEEDFORWARD NEURAL NETWORKS; HEALTH RISKS; RISK ASSESSMENT; STATISTICAL METHODS;

PRINCIPAL COMPONENT ANALYSIS;

ELECTROCARDIOGRAPHY;

EID: 0033282214     PISSN: 02766574     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

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2. Silipo R, Laguna P, Marchesi C, Mark R G. ST-T Segment Change Recognition Using Artificial Neural Networks and Principal Component Analysis. In: Computers in Cardiology 1995. Los Alamitos: IEEE Computer Society Press, 1995: 213-16.
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4. Maglaveras N, Stamkopoulos T, Pappas C, Strintzis MG. An Adaptive Backpropagation Neural Network for Real-Time Ischemia Episodes Detection: Development and Performance Analysis Using the European ST-T Database. IEEE Trans Biomed Eng 1998; 45(7):805-13.
5. Taddei A., Distante G, Emdin M, Pisani P, Moody GB. The European ST-T Database: Standard for Evaluation Systems for the Analysis of ST-T Changes in Ambulatory Electrocardiography. Eur Heart J 992, 13:1164-72.
6. Karjalainen J, Viitasalo M, Manttäri M, Manninen V. Relation Between QT Intervals and Heart Rates from 40 to 120 Beats/min in Rest Electrocardiograms of Men and a Simple Method to Adjust QT Interval Values. J Am Coll Cardiol 1994, 23:1547-53.
7. Proakis JG, Manolakis DG. Digital Signal Processing: Priciples, Algorithms and Applications. Prentice Hall, Upper Saddle River year, New Jersey.
8. Haykin S. Neural Network: A Compreensive Foundation. 1994, Macmillan, London.
9. Jagger F, Moody GB, Taddei A, Mark RG. Performance Measures for Algorithms to Detect Transient Ischemic ST Changes. In: Computers in Cardiology 1991. Los Alamitos: IEEE Computer Society Press, 1991: 369-72.