Evaluation of weight factor mode based ensemble empirical mode decomposition method in heart activity analysis

Journal of Medical Imaging and Health Informatics

Volumn 2, Issue 3, 2012, Pages 266-271

  Kharrat, Mohamed ^a   Wakuda, Yuki ^a   Kobayashi, Shinsuke ^a   Koshizuka, Noboru ^a   Sakamura, Ken ^a  

^a UNIVERSITY OF TOKYO   (Japan)

Author keywords

ECG; Empirical mode decomposition; Ensemble empirical mode decomposition; Heart activity analysis; Piezo film sensor; Weight factor mode

Indexed keywords

EID: 84881169887     PISSN: 21567018     EISSN: 21567026     Source Type: Journal    
DOI: 10.1166/jmihi.2012.1103     Document Type: Conference Paper

References (20)

1. WHO; World Heart Federation; World Stroke Organization, Global atlas on cardiovascular disease prevention and control (2011).
2. A. Pantelopoulos and N. G. Bourbakis, A survey on wearable sensor-based systems for health monitoring and prognosis. Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on 40, 1 (2010).
3. N. E. Huang Z. Shen, S. R. Long, M. C. Wu, H. H. Shih, Q. Zheng, N. C. Yen, C. C. Tung, and H. H. Liu, The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis. Proc. R. Soc. Lond. A 454, 903 (1998).
4. A. Karagiannis and P. Constantinou, Comparative study of empirical mode decomposition applied in experimental biosignals, 8th IEEE International Conference on BioInformatics and BioEngineering 2008. BIBE 2008, Oct. (2008), pp. 1-6.
5. T. Y. Ji, Z. Lu, H. Q. Wu, and Z. Ji, Baseline normalization of ECG signals using empirical mode decomposition and mathematical morphology. Electron. Lett. 44, 82 (2008).
6. G. Tang and A. Qin, ECG de-noising based on empirical mode decomposition. The 9th International Conference for Young Computer Scientists, 2008. ICYCS 2008, Nov. (2008), pp. 903-906.
7. Z.-D. Zhao, Y.-Q. Chen, A new method for removal of baseline wander and power line interference in ECG signals, 2006 International Conference on Machine Learning and Cybernetics, Aug. (2006), pp. 4342-4347.
8. B. Nan, N. Ueno, and O. Fukuda, Monitoring of respiration and heartbeat during sleep using a flexible piezoelectric film sensor and empirical mode decomposition, Engineering in Medicine and Biology Society, 2007.
9. EMBS 2007. 29th Annual International Conference of the IEEE, Aug. (2007), pp. 1362-1366.
10. N. E. Huang, Z. Shen, and S. R. Long, A new view of nonlinear water waves: The Hilbert spectrum. Annual Review of Fluid Mechanics 31, 417 (1999).
11. P. Flandrin, P. Goncalves, and G. Rilling, EMD equivalent filter banks, from interpretation to applications, Hilbert-Huang Transform and Its Applications, edited by N. E. Huang and S. S. P. Shen, World Scientific (2005), pp. 57-74.
12. R. J. Gledhill, Methods for investigating conformational change in biomolecular simulations, A Dissertation for the Degree of Doctor of Philosophy at Department of Chemistry the University of Southampton (2003).
13. Z. Wu and N. E. Huang, Ensemble empirical mode decomposition: A noiseassisted data analysis method. Advances in Adaptive Data Analysis 1, 1 (2009).
14. E. Abdulhay, P. Y. Guméry, J. Fontecave, and P. Baconnier, Cardiogenic oscillations extraction in inductive plethysmography: Ensemble empirical mode decomposition, 31st Annual International Conference of the IEEE EMBS, Minneapolis, Minnesota, USA (2009).
15. M. Kharrat, Heart activity analysis based on empirical mode decomposition, A Dissertation for the Degree of Master of Art and Science, Department of Applied Computer Science, The University of Tokyo (2010).
16. M. Kharrat, Y. Wakuda, S. Kobayashi, N. Koshizuka, and K. Sakamura, Adaptive radial artery pulse rate measurement using Piezo film sensor based on ensemble empirical mode decomposition. 10th IEEE International Conference on Information Technology and Applications in Biomedicine (ITAB), 2010 Nov. (2010), pp. 1-4.
17. G. B. Moody and R. G. Mark, The impact of the MIT-BIH Arrhythmia database. IEEE Eng. in Med. and Biol. 20, 45 (2001).
18. M. Kharrat, Y. Wakuda, S. Kobayashi, N. Koshizuka, and K. Sakamura, Evaluation of weight factor mode and EEMD performance on measuring heart rate activity in the presence of cardiac arrhythmia, 2012 International Conference on Biomedical Engineering (ICoBE), Feb. (2012), pp. 466-469.
19. Z. Wu, Research Center for Adaptive Data Analysis. Matlab EEMD source code [Online], Available:http://rcada.ncu.edu.tw/research1-clip-program.htm, accessed (2012).
20. ANSI/AAMI EC57 Standard: Testing and reporting performance results of cardiac rhythm and ST segment measurement algorithms. Available: www.aami.org; Order Code: EC57-293 (1998).