Feature extraction and shape representation of ambulatory electrocardiogram using the Karhunen-Loève transform

Elektrotehniski Vestnik/Electrotechnical Review

Volumn 69, Issue 2, 2002, Pages 83-89

  Jager, Franc ^a  

^a UNIVERSITY OF LJUBLJANA   (Slovenia)

Author keywords

Ambulatory electrocardiogram; Feature extraction; Karhunen Lo ve transform; Kernel approximation method; Shape representation

Indexed keywords

APPROXIMATION THEORY; FEATURE EXTRACTION; MATHEMATICAL TRANSFORMATIONS; MATRIX ALGEBRA; VECTORS;

AMBULATORY ELECTROCARDIOGRAM; KARHUNEN-LOEVE TRANSFORM; KERNEL-APPROXIMATION METHOD; ROBUST COVARIANCE MATRICES; SHAPE REPRESENTATION;

ELECTROCARDIOGRAPHY;

EID: 0036323753     PISSN: 00135852     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (10)

1. QRS morphology representation and noise estimation using the Karhunen-Loève transform
2. Monitoring patient status through principal components analysis
3. Detection of transient ST-segment episodes during ambulatory ECG-monitoring
4. Analysis of the ST-T complex of the electrocardiogram using the Karhunen-Loève transform: Adaptive monitoring and alternans detection
5. A new approach to feature selection based on the Karhunen-Loève expansion
6. Robust estimation of dispersion matrices and principal components
7. The European ST-T database: Standard for evaluating systems for the analysis of ST-T changes in ambulatory electrocardiography
8. Development and evaluation of a 2-lead ECG analysis program
9. Analysis of transient ST segment changes during ambulatory ECG monitoring
10. The long-term ST database: A research resource of algorithm development and physiologic studies of transient myocardial ischemia