Arrhythmia classification using the RR-interval duration signal

Computers in Cardiology

Volumn 29, Issue , 2002, Pages 485-488

  Tsipouras, Markos G ^a   Fotiadis, D I ^a   Sideris, D ^b  

^a UNIVERSITY OF IOANNINA   (Greece)

^b UNIVERSITY OF IOANNINA   (Greece)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CARDIOLOGY; DATABASE SYSTEMS; SIGNAL PROCESSING; WAVELET TRANSFORMS;

ARRHYTHMIA CLASSIFICATION;

ELECTROCARDIOGRAPHY;

EID: 0036945755     PISSN: 02766574     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (21)

1. Sandoe E, Sigurd B. Arrhythmia - A guide to clinical electrocardiology. Bingen: Publishing Partners Verlags GmbH, 1991.
2. Goldberger L, Goldberger E. Clinical Electrocardiography. Saint Louis: The Mosby Company, 1977.
3. Sideris DA. Primary Cardiology. Athens: Scientific Editions Grigorios K Parisianos, 1991 (in Greek).
4. Thakor NV, Zhu YS, Pan KY. Ventricular tachycardia and fibrillation detection by a sequential hypothesis testing algorithm. IEEE Trans Biom Eng 1990;37:837-843.
5. Clayton RH, Murray A, Campbell RWF. Comparison of four techniques for recognition of ventricular fibrillation of the surface ECG. Med Biol Eng Comp 1993;31111-117.
6. Clayton RH, Murray A, Campbell RWF. Recognition of ventricular fibrillation using neural networks. Med Biol Eng Comp 1994;32:217-220.
7. Yang TF, Device B, Macfarlane PW. Artificial neural networks for the diagnosis of atrial fibrillation. Med Biol Eng Comp 1994;32:615-619.
8. Afonso VX, Tompkins WJ. Detecting ventricular fibrillation. IEEE Eng Med Biol 1995;14:152-159.
9. Khadra L, Al-Fahoum AS, Al-Nashash H. Detection of life-threatening cardiac arrhythmias using wavelet transformation. Med Biol Eng Comp 1997;35:626-632.
10. Minami K, Nakajima H, Toyoshima T. Real-time discrimination of ventricular tachyarrhythmia with Fourier-transform neural network. IEEE Trans Biom Eng 1999;46:179-185.
11. Zhang XS, Zhu YS, Thakor NV, Wang ZZ. Detecting ventricular tachycardia and fibrillation by complexity measure. IEEE Trans Biom Eng 1999;46:548-555.
12. Wang Y, Zhu YS, Thakor NV, Xu YH. A short-time multifractal approach for arrhythmia detection based on fuzzy neural network. IEEE Trans Biom Eng 2001;48:989-995.
13. Thakor NV, Natarajan A, Tomaselli G. Multiway sequential hypothesis testing for tachyarrhythmia discrimination. IEEE Trans Biom Eng 1994;41:480-487.
14. Al-Fahoum AS, Howitt I. Combined wavelet transformation and radial basis neural networks for classifying life-threatening cardiac arrhythmias. Med Biol Eng Comp 1999;37:566-573.
15. Ham FM, Han S. Classification of cardiac arrhythmias using fuzzy ARTMAP. IEEE Trans Biom Eng 1996;43:425-430.
16. Osowski S, Linh TH. ECG beat recognition using Fuzzy Hybrid Neural Network. 2001;48:1265-1271.
17. Docur Z, Olmez T. ECF beat classification by a hybrid neural network. Comp Meth Prog Biomed 2001;66:167-181.
18. Owis MI, Abou-Zied AH, Youssef AM, Kadah YM. Study of features based on nonlinear dynamical modeling in ECG arrhythmia detection and classification. IEEE Trans Biom Eng 2002;49:733-736.
19. MIT-BIH Arrhythmia Database CD-ROM. Third Edition, 1997, Harvard-MIT Division of Health Sciences and Technology.
20. Moody GB, Mark RG. The impact of the MIT-BIH arrhythmia database. Comp Biomed Res 1996;29:174-193.
21. Tsipouras MG. Fotiadis DI. Arrhythmia detection with time and time-frequency analysis of heart rate variability. In: Cerutti S, Akay M, Mainardi LT, Sato S, Zywietz C. IV International Workshop on Biosignal Interpretation. Milano, Italy, 2002:175-178.