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Showing content from https://link.springer.com/article/10.1007/s10439-013-0964-6 below:

Crowd-Sourced Annotation of ECG Signals Using Contextual Information

References
  1. Bousseljot, R., D. Kreiseler, and A. Schnabel. Nutzung der EKG-Signaldatenbank CARDIODAT der PTB uber das Internet. Biomed. Tech. 40(1):317–318, 1995.

    Google Scholar 

  2. Cholleti, S. R., S. A. Goldman, A. Blum, D. G. Politte, and S. Don. Veritas: combining expert opinions without labeled data. In: Proceedings of 20th IEEE International Conference on Tools with Artificial Intelligence, Vol. 1, 2008, pp. 45–52.

  3. Christov, I., I. Dotsinsky, I. Simova, R. Prokopova, E. Trendafilova, and S. Naydenov. Dataset of manually measured QT intervals in the electrocardiogram. Biomed. Eng. Online 5:31, 2006.

    Google Scholar 

  4. Clifford, G. D., F. Azuaje, and P. E. McSharry. Advanced Methods and Tools for ECG Analysis. Engineering in Medicine and Biology. Norwood, MA: Artech House, 2006.

  5. Clifford, G. D., J. Behar, Q. Li, and I. Rezek. Signal quality indices and data fusion for determining clinical acceptability of electrocardiograms. Physiol. Meas. 33(9):1419–1433, 2012.

    Article  CAS  PubMed  Google Scholar 

  6. Clifford, G. D., and M. C. Villarroel. Model-based determination of QT intervals. Comput. Cardiol. 33:357–360, 2006.

    Google Scholar 

  7. Dawid, A. P., and A. M. Skene. Maximum likelihood estimation of observer error-rates using the EM algorithm. J. R. Stat. Soc. Ser. C Appl. Stat. 28(1):20–28, 1979.

    Google Scholar 

  8. Dempster, A. P., N. M. Laird, and D. B. Rubin. Maximum likelihood from incomplete data via the EM algorithm. J. R. Stat. Soc. Ser. B 39(1):1–38, 1977.

    Google Scholar 

  9. Ehlert, F. A., J. J. Goldberger, J. E. Rosenthal, and A. H. Kadish. Relation between QT and RR intervals during exercise testing in atrial fibrillation. Am. J. Cardiol. 70(3):332–338, 1992.

    Article  CAS  PubMed  Google Scholar 

  10. Franz, M. R., and M. Zabel. Electrophysiological basis of QT dispersion measurements. Prog. Cardiovasc. Dis. 42(5):311–324, 2000.

    Article  CAS  PubMed  Google Scholar 

  11. Friesen, G. M., T. C. Jannett, M. A. Jadallah, S. L. Yates, S. R. Quint, and H. T. Nagle. A comparison of the noise sensitivity of nine QRS detection algorithms. IEEE Trans. Biomed. Eng. 37(1):85–98, 1990.

    Google Scholar 

  12. Hamilton, P. S., and W. J. Quantitative investigation of QRS detection rules using the MIT/BIH arrhythmia database. IEEE Trans. Biomed. Eng. 33(12):1157–1165, 1986.

  13. International Conference on Harmonization of Technical Requirements for Registration of Pharmaceuticals for Human Use: Guidance for Industry E14: Clinical Evaluation of QT/ QTc Interval Prolongation and Proarrhythmic Potential for Non-Antiarrhythmic Drugs. http://www.fda.gov/downloads/Drugs/GuidanceComplianceRegulatoryInformation/Guidances/ucm073153.pdf.

  14. Jarque, C. M., and A. K. Bera. A test for normality of observations and regression residuals. Int. Stat. Rev. 55(2):163–172, 1987.

    Article  Google Scholar 

  15. Jin, R., and Z. Ghahramani. Learning with multiple labels. In: Advances in Neural Information Processing Systems, Vol. 15, edited by S. Becker, S. Thrun, and K. Obermayer. Cambridge: MIT Press, 2003, pp. 897–904.

  16. Malik, M. Errors and misconceptions in ECG measurement used for the detection of drug induced QT interval prolongation. J. Electrocardiol. 37(Supplement):25–33, 2004.

    Google Scholar 

  17. Moody, G. B., H. Koch, and U. Steinhoff. The Physio Net/Computers in Cardiology Challenge 2006: QT interval measurement. In: Computers in Cardiology, 2006, pp. 313–316.

  18. Ofer Dekel, O. S. Good learners for evil teachers. In: Proceedings of 26th International Conference on Machine Learning, 2009.

  19. Pueyo, E., P. Smetana, P. Laguna, and M. Malik. Estimation of the QT/RR hysteresis lag. J. Electrocardiol. 36: 187–190, 2003.

    Article  PubMed  Google Scholar 

  20. Raykar, V. C., S. Yu, L. H. Zhao, G. H. Valadez, C. Florin, L. Bogoni, L. Moy, and D. Blei. Learning from crowds. J. Mach. Learn. Res. 11:1297–1322, 2010.

    Google Scholar 

  21. Salerno, S. M., P. C. Alguire, and H. S. Waxman. Competency in interpretation of 12-lead electrocardiograms: a summary and appraisal of published evidence. Ann. Intern. Med. 138(9):751–760, 2003.

    Article  PubMed  Google Scholar 

  22. Viskin, S., U. Rosovski, A. J. Sands, E. Chen, P. M. Kistler, J. M. Kalman, L. Rodriguez Chavez, P. Iturralde Torres, F. E. S. Cruz F, O. A. Centurin, A. Fujiki, P. Maury, X. Chen, A. D. Krahn, F. Roithinger, L. Zhang, G. M. Vincent, and D. Zeltser. Inaccurate electrocardiographic interpretation of long QT: the majority of physicians cannot recognize a long QT when they see one. Heart Rhythm 2:569–574, 2005.

  23. Warfield, S. K., K. H. Zou, and W. M. Wells. Simultaneous truth and performance level estimation (STAPLE): an algorithm for the validation of image segmentation. IEEE Trans. Med. Imaging 23(7):903–921, 2004.

    Article  PubMed Central  PubMed  Google Scholar 

  24. Warfield, S. K., K. H. Zou, and W. M. Wells. Validation of image segmentation by estimating rater bias and variance. Philos. Trans. A Math. Phys. Eng. Sci. 366:2361–2375, 2008.

    Article  PubMed Central  PubMed  Google Scholar 

  25. Willems, J., P. Arnaud, J. van Bemmel, P. Bourdillon, C. Brohet, S. Dalla Volta, J. Andersen, R. Degani, B. Denis, M. Demeester, et al. Assessment of the performance of electrocardiographic computer programs with the use of a reference data base. Circulation 71(3):523–534, 1985.

    Article  CAS  PubMed  Google Scholar 

  26. Zong, W., G. Moody, and D. Jiang. A robust open-source algorithm to detect onset and duration of QRS complexes. Comput. Cardiol. 30:737–740, 2003.

    Google Scholar 

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