Ischemia detection in the context of a cardiovascular status assessment tool

Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009

Volumn , Issue , 2009, Pages 2535-2538

  Rocha, T ^a   Paredes, S ^a   Carvalho, P ^b   Henriques, J ^b   Harris, M ^c   Morais, J ^d  

^a POLYTECHNIC INSTITUTE OF COIMBRA   (Portugal)

^b UNIVERSITY OF COIMBRA   (Portugal)

^c PHILIPS RESEARCH LABORATORIES   (Germany)

^d Hospital de Santo Andre   (Portugal)

Author keywords

[No Author keywords available]

Indexed keywords

CARDIOLOGY; COMPUTER AIDED DESIGN; DISEASES;

ASSESSMENT TOOL; AUTOMATIC DETECTION; CORONARY ARTERY DISEASE; EUROPEAN PROJECT; HERMITE FUNCTIONS; MYOCARDIAL ISCHEMIA; ST SEGMENT DEVIATION; TIME FREQUENCY ANALYSIS;

RISK ASSESSMENT;

EID: 77951010883     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2009.5334814     Document Type: Conference Paper

References (23)

1. http://www.who.int/cardiovascular-diseases/en/
2. http://heartcycle.med.auth.gr/
3. Carol Jacobson MN, RN, "ECG Challenges: Diagnosis of Acute Coronary Syndrome", AACN Advanced Critical Care, vol. 19, no 1, pp. 101-108, 2008
4. Badilini F., Merri M., Benhorin J. and Moss A. J., "Beat-to-beat quantification and analysis of ST displacement from Holter ECGs: a new approach to ischemia detection", Computers in Cardiology, pp. 179-182, 1992
5. Garcia J., Sornmo L., Olmos S. and Laguna P., "Automatic detection of ST-T complex changes on the ECG using filtered RMS difference series: application to ambulatory ischemia monitoring", Transactions on Biomedical Engineering, vol. 47, no 9, pp. 1195-1201, 2000
6. Ranjith P., Baby P. and Joseph P., "ECG analysis using wavelet transform: application to myocardial ischemia detection", ITBM-RBM, vol. 24, issue 1, pp. 44-47, 2003
7. Milosavljevic N. and Petrovic A., "ST segment change detection by means of wavelets", 8th Seminar on Neural Network Applications in Electrical Engineering, NEUREL, 2006
8. Maglaveras N., Stamkopoulos T., Pappas C. and Strintzis M., "An adaptive backpropagation neural network for real-time ischemia episodes detection: development and performance analysis using European ST-T database", Transactions on Biomedical Engineering, vol. 45, issue 7, pp. 805-813, 1998
9. Mohebbi M. and Moghadam H., "Real-time ischemic beat classification using backpropagation neural network", Signal Processing and Communications Applications, pp. 1-4, 2007
10. Papaloukas C., Fotiadis D., Likas A. and Michalis L., "An ischemia detection method based on artificial neural networks", Artificial Intelligence in Medicine, vol. 24, issue 2, pp. 167-178, 2002
11. Castells F., Laguna P., Sornmo L., Bollmann A., and Roid J., "Principal Component Analysis in ECG Signal Processing", EURASIP Journal on Advances in Signal Processing, vol. 2007, issue 1, pp. 98-98, 2007
12. Pang L., Tchoudovski I., Braecklein M., Egorouchkina K., Kellermann W. and Bolz A., "Real time heart ischemia detection in the smart home care system", 27th Conference of the EMBS, pp. 3703-3706, 2005
13. Afsar F., Arif M. and Yang J., "Detection of ST segment deviation episodes in ECG using KLT with an ensemble neural classifier", Physiological Measurement, vol. 29, no 7, pp. 747-760, 2008
14. Gopalakrishnan R.,.Acharya S. and Mugler, D., "Real time monitoring of ischemic changes in electrocardiograms using discrete Hermite functions", 26th Conference of the EMBS, pp. 438-441, 2004
15. Papaloukas C., Fotiadis D., Likas A. Stroumbis C. and Michalis L., "Use of a novel rule-based expert system in the detection of changes in the ST segment and the T wave in long duration ECGs", Journal of Electrocardiology, vol. 35, no1, pp. 27-34, 2002
16. Andreao R., Dorizzi B., Boudy J. and Mota J., "ST-Segment Analysis Using Hidden Markov Model Beat Segmentation: Application to Ischemia Detection", Computers in Cardiology, pp. 381-384, 2004
17. Vila J., Presedo J., Delgado M., Barro S., Ruiz R. and Palacios F., "SUTIL: Intelligent ischemia monitoring system", International Journal of Medical Informatics, vol. 47, issue 3, pp. 193-214, 1997
18. Exarchos T., Tsipouras M, Exarchos C., Papaloukas C., Fotiadis D. and Michalis L., "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", Artificial Intelligence in Medicine, vol. 40, issue 3, pp. 187-200, 2007
19. MatLab; Mathworks, Inc., 2007
20. Taddei, A., Distante, G., Emdin, M., Pisani, P., Moody, G.B., Zeelenberg, C. and Marchesi, C., "The European ST-T Database: standard for evaluating systems for the analysis of ST-T changes in ambulatory electrocardiography" , European Heart Journal 13, pp. 1164-1172, 1992
21. Goldberger AL, Amaral LAN, Glass L, Hausdorff JM, Ivanov PCh, Mark RG, Mietus JE, Moody GB, Peng C-K, Stanley HE.,"PhysioBank, PhysioToolkit, and PhysioNet: Components of a New Research Resource for Complex Physiologic Signals", Circulation, 101, e215-e220, 2000
22. Wolf, A, Automatic Analysis of Electrocardiogram Signals using Neural networks, (in Portuguese), PUC-Rio, Ms. Thesis, no 0210429/CA2004
23. Clifford G., Azuaje F. and McSharry P., "Advanced Methods and Tools for ECG Data Analysis", Engineering in Medicine & Biology, Artech House Inc., 2006