Improvement of ECG signal quality measurement using correlation and diversity-based approaches

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

Volumn , Issue , 2012, Pages 4295-4298

  Martinez Tabares, F J ^a   Espinosa Oviedo, J ^a   Castellanos Dominguez, G ^a  

^a UNIVERSIDAD NACIONAL DE COLOMBIA   (Colombia)

Author keywords

[No Author keywords available]

Indexed keywords

CARDIO-VASCULAR DISEASE; COMPUTATION BURDEN; DIVERSITY SCHEMES; ECG DATA; ECG RECORDING; ECG SIGNALS; INVERSE RELATIONS; MEASUREMENT QUALITY; MOBILE ENVIRONMENTS; PHYSIONET; PROCESSING ALGORITHMS; SENSITIVITY AND SPECIFICITY; STANDARD DEVIATION; WEARABLE DEVICES;

ALGORITHMS; RURAL AREAS;

ELECTROCARDIOGRAPHY;

ALGORITHM; ARTICLE; COMPUTER ASSISTED DIAGNOSIS; ELECTROCARDIOGRAPHY; EVALUATION STUDY; HEART ARRHYTHMIA; HUMAN; METHODOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICS; EVALUATION;

ALGORITHMS; ARRHYTHMIAS, CARDIAC; DIAGNOSIS, COMPUTER-ASSISTED; ELECTROCARDIOGRAPHY; HUMANS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; STATISTICS AS TOPIC;

MLCS; MLOWN;

EID: 84880946634     PISSN: 1557170X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/EMBC.2012.6346916     Document Type: Conference Paper

References (11)

1. Who report, Tech. rep., World Health Organization (2011).
2. B. Raghavendra, D. Bera, A. Bopardikar, R. Narayanan, Cardiac arrhythmia detection using dynamic time warping of ecg beats in e-healthcare systems, in: World of Wireless, Mobile and Multimedia Networks (WoWMoM), 2011 IEEE International Symposium on a, 2011, pp. 1-6.
3. H. Xia, G. A. Garcia, J. C. McBride, A. Sullivan, T. De Bock, J. Bains, D. C. Wortham, X. Zhao, Computer algorithms for evaluating the quality of ecgs in real time, in: Computing in Cardiology, Vol. 38, 2011, pp. 369-372.
4. R. Bonow, E. Braunwald, D. Mann, D. Zipes, P. Libby, Braunwald's Heart Disease: A Textbook of Cardiovascular Medicine, no. v. 2, Saunders/Elsevier, 2011.
5. Physionet/computing in cardiology challenge 2011 (2001). URL physionet.org/challenge/2011
6. I. Silva, G. B. Moody, L. Celi, Improving the quality of ecgs collected using mobile phones: The physionet/computing in cardiology challenge 2011, in: Computing in Cardiology, Vol. 38, 2011, pp. 273-276.
7. J. L. Rodríguez-Sotelo, D. Cuesta-Frau, D. H. Peluffo- Ordoñez, C. G. Castellanos-Domínguez, Unsupervised feature selection in cardiac arrhythmias analysis, in: Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE, 2009, pp. 2571-2574.
8. F. J. Chin, Q. Fang, T. Zhang, I. Cosic, A fast critical arrhythmic ecg waveform identification method using cross-correlation and multiple template matching, in: Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE, 2010, pp. 1922-1925.
9. Innovatec s.l. (2012). URL http://www.celbit.net
10. Celbit ltda. (2012). URL http://www.celbit.net
11. P. Langley, L. DiMarco, S. King, D. Duncan, C. DiMaria, W. Duan, M. Bojarnejad, D. Zheng, J. Allen, A. Murray, An algorithm for assessment of quality of ecgs acquired via mobile telephones, in: Computing in Cardiology, CinC, 2011, pp. 281-284.