Corrigendum to "A characterization of electrocardiogram signals through optimal allocation of information granularity" [Artif. Intell. Med., 54 (2012) 125-134] DOI: 10.1016/j.artmed.2011.09.007;A characterization of electrocardiogram signals through optimal allocation of information granularity

Artificial Intelligence in Medicine

Volumn 54, Issue 2, 2012, Pages 125-134

  Gacek, Adam ^a   Pedrycz, Witold ^b,c  

^a INSTITUTE OF MEDICAL TECHNOLOGY AND EQUIPMENT   (Poland)

^b UNIVERSITY OF ALBERTA   (Canada)

^c SYSTEMS RESEARCH INSTITUTE   (Poland)

Author keywords

ECG signals; Granular Computing; Granular representative (prototype); Information granule; Particle Swarm Optimization; Signal representation

Indexed keywords

CURVE FITTING; ELECTROCARDIOGRAPHY; FUZZY SETS; GRANULAR COMPUTING; GRANULATION; INFORMATION GRANULES; MACHINERY; PARTICLE SWARM OPTIMIZATION (PSO); ROUGH SET THEORY;

DISTRIBUTION CHARACTERISTICS; ECG SIGNALS; ELECTROCARDIOGRAM SIGNAL; GRANULAR REPRESENTATIVE (PROTOTYPE); OPTIMAL ALLOCATION OF INFORMATION GRANULARITIES; POPULATION-BASED OPTIMIZATION; PREMATURE VENTRICULAR CONTRACTION; SIGNAL REPRESENTATIONS;

PARTICLES (PARTICULATE MATTER);

ALGORITHM; AREA UNDER THE CURVE; ARTICLE; DATA BASE; ELECTRICAL PARAMETERS; ELECTROCARDIOGRAM; EPICARDIUM MAPPING; INFORMATION DISSEMINATION; INFORMATION GRANULARITY; LIMIT OF QUANTITATION; PARTICLE SWARM OPTIMIZATION; PRIORITY JOURNAL; PROCESS OPTIMIZATION; QUALITY CONTROL; SIGNAL DETECTION;

EID: 84855978698     PISSN: 09333657     EISSN: 18732860     Source Type: Journal    
DOI: 10.1016/j.artmed.2015.07.001     Document Type: Erratum

References (17)

1. Asl B.M., Setarehdan S.K., Mohebbi M. Support vector machine-based arrhythmia classification using reduced features of heart rate variability signal. Artif Intell Med 2008, 44(1):51-64.
2. Exarchos T.P., Tsipouras M.G., Exarchos C.P., Papaloukas C., Fotiadis D.I., Michalis L.K. A methodology for the automated creation of fuzzy expert systems for ischaemic and arrhythmic beat classification based on a set of rules obtained by a decision tree. Artif Intell Med 2007, 40(3):187-200.
3. Gacek A., Pedrycz W. A genetic segmentation of ECG signals. IEEE Trans Biomed Eng 2003, 50(10):1203-1208.
4. Ham F.M., Han S. Classification of cardiac arrhythmia using Fuzzy ARTMAP. IEEE Trans Biomed Eng 1996, 43(4):425-430.
5. Pedrycz W., Breuer A., Pizzi N.J. Genetic design of feature spaces for pattern classifiers. Artif Intell Med 2004, 32(2):115-125.
6. Trahanias P., Skordolakis E. Syntactic pattern recognition of the ECG. IEEE Trans Pattern Anal Mach Intell PAMI-12 1990, 7:648-657.
7. Bargiela A., Pedrycz W. Granular computing: an introduction 2003, Kluwer Academic Publishers, Dordrecht.
8. Gacek A., Pedrycz W. A granular description of ECG signals. IEEE Trans Biomed Eng 2006, 53(10):1972-1982.
9. Kennedy J., Eberhart R.C., R.C. Particle swarm optimization. Proc IEEE int conf neural networks, vol. 4 1995, 1942-1948. IEEE Press, Piscataway, NJ.
10. Paterlini S., Krink T. Differential evolution and particle swarm optimisation in partitional clustering. Comput Stat Data Anal 2006, 50(5):1220-1247.
11. van den Bergh F., Engelbrecht A.P. A study of particle swarm optimization particle trajectories. Inform Sci 2006, 176(8):937-971.
12. Rasmussen T.K., Krink T. Improved Hidden Markov Model training for multiple sequence alignment by a particle swarm optimization-evolutionary algorithm hybrid. Biosystems 2003, 72(1-2):5-17.
13. Trelea I.C. The particle swarm optimization algorithm: convergence analysis and parameter selection. Inform Process Lett 2003, 85(6):317-325.
14. MIT-BIH ECG Arrhythmia Database, Available at Beth Israel Hospital, Biomedical Engineering Division Room, KB-26, 330 Brookline Ave., Boston, MA 02215.
15. Orsenigo C., Vercellis C. Combining discrete SVM and fixed cardinality warping distances for multivariate time series classification. Pattern Recogn 2010, 43(11):3787-3794.
16. Tormene P., Giorgino T., Quaglini S., Stefanelli M. Matching incomplete time series with dynamic time warping: an algorithm and an application to post-stroke rehabilitation. Artif Intell Med 2009, 45(1):11-34.
17. Zhou M., Wong M.H. A segment-wise time warping method for time scaling searching. Inform Sci 2005, 173(1-3):227-254.