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The Korean Institute of Commucations and Information Sciences (한국통신학회)
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사이버물리시스템 응용사례: 지능형 원격심전도 모니터링

  • Published : 2013.09.30
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Abstract

최근 고령화 사회로 진입함에 따라 건강 상태 상시 모니터링에 대한 관심이 높아졌으며, 이에 편승하여 부정맥을 탐지하는 기법에 대한 연구도 활발히 진행되고 있다. 원격심전도 모니터링을 통해 병원 방문 없이도 진료 및 진단이 가능해 질 것으로 예측된다. 이러한 원격심전도 모니터링은 사이버물리시스템의 대표적인 응용사례에 해당된다. 본 고를 통해 우리는 원격심전도 모니터링 응용 사례를 물리시스템과 사이버시스템의 상호작용 관점에서 살펴보고, 이를 통하여 효율적인 시스템 설계 방안에 대하여 논한다.

Keywords

References

  1. E. A. Lee, "Cyber-physical systems - are computing foundations adequate?," in Proc. NSF Workshop on Cyber-Physical Systems, Position Paper, Oct. 2006.
  2. J. H. Marburger, E. F. Kvamme, G. Scalise, and D. A. Reed, "Leadership under challenge: information technology R&D in a competitive world," President's Council of Advisors on Science and Technology, pp. 31-43, Aug. 2007.
  3. E. A. Lee, "Cyber physical systems: design challenges," in Proc. IEEE International Symposium on Object-Oriented Real-Time Distributed Computing (ISORC), pp. 363-369, Jan. 2008.
  4. L. Sha, S. Gopalakrishnan, X. Liu, and Q. Wang, "Cyber-physical systems: a new frontier," in Proc. NSF Workshop on Cyber-Physical Systems, pp. 1-9, Oct. 2006.
  5. R. R. Rajkumar, I. Lee, L. Sha, and J. Stankovic, "Cyber-physical systems: the next computing revolution," in Proc. ACM Design Automation Conference, pp. 731-736, June. 2010.
  6. R. Poovendran, "Cyber-physical systems: close encounters between two parallel worlds," in Proc. IEEE, vol. 98, no. 8, pp. 1363-1366, Aug. 2010. https://doi.org/10.1109/JPROC.2010.2050377
  7. P. Derler, E. A. Lee, and A. L. Sangiovanni-Vincentelli, "Addressing modeling challenges in cyber-physical systems," Electrical Engineering and Computer Sciences University of California at Berkeley, Technical Report, Mar. 2011.
  8. E. A. Lee and S. A. Seshia, Introduction to embedded systems - a cyber-physical systems approach, LeeSeshia.org, 2011.
  9. P. Marwedel, Embedded system design: embedded systems foundations of cyber-physical systems, Springer, 2010.
  10. E. A. Lee, "CPS foundations," in Proc. ACM Design Automation Conference, pp. 737-742, June. 2010.
  11. 박경준, 강미선, 손성화, "사이버물리시스템의 개요 및 통신망 관련이슈 분석," 한국통신학회, pp. 98-105, May. 2012.
  12. 2011년 사망원인통계, 통계청, Sep. 2012.
  13. S. Karimifard, A. Ahmadian, M. Khoshnevisan, and M. S. Nambakhsh, "Morphological heart arrhythmia detection using Hermitian basis functions and kNN classifier," in Proc. IEEE Engineering in Medicine and Biology Society, pp. 1367-1370, Aug/Sept. 2006.
  14. M. Arif, M. U. Akram, and F. A. Afsar, "Arrhythmia beat classification using pruned fuzzy k-Nearest Neighbor classifier," International Conference of Soft Computing and Pattern Recognition, pp. 37-42, Dec. 2009.
  15. S. Osowski, L. T. Hoai, and T. Markiewicz, "Support vector machine-based expert system for reliable heartbeat recognition," IEEE Transactions on Biomedical Engineering, vol. 51, no. 4, pp. 582-589, Apr. 2004. https://doi.org/10.1109/TBME.2004.824138
  16. G. K. Prasad and J. S. Sahambi, "Classification of ECG arrhythmia using multi-resolution analysis and neural networks," International Conference on Convergent Technologies for the Asia-Pacific Region, vol. 1, pp. 227-231, Oct. 2003.
  17. P. de Chazal, M. O'Dwyer, and R. B. Reilly, "Automatic classification of heartbeats using ECG morphology and heartbeat interval features," IEEE Transactions on Biomedical Engineering, vol. 51, no. 7, pp. 1196-1206, July. 2004. https://doi.org/10.1109/TBME.2004.827359
  18. J. Rodriguez, A. Goni, and A. Illarramendi, "Real-time classification of ECGs on a PDA," IEEE Transactions on Information Technology in Biomedicine, vol. 9, no. 1, pp. 23-34, Mar. 2005. https://doi.org/10.1109/TITB.2004.838369
  19. L. S. C. de Oliveira, R. V. Andreao, and M. Sarcinelli Filho, "Premature ventricular beat classification using a dynamic Bayesian network," IEEE Engineering in Medicine and Biology Society, pp. 4984-4987, Aug/Sept. 2011.
  20. T. H. Yeap, F. Johnson, and M. Rachniowski, "ECG beat classification by a neural network," in Proc. IEEE Engineering in Medicine and Biology Society, pp. 1457-1458, Nov. 1990.
  21. L. Zhang, H. Peng, and C. Yu, "An approach for ECG classification based on wavelet feature extraction and decision tree," International Conference on Wireless Communications and Signal Processing, pp. 1-4, Oct. 2010.
  22. J. Pan and W. J. Tompkins, "A real-time QRS detection algorithm," IEEE Transactions on Biomedical Engineering, vol. BME-32, no. 3, pp. 230-236, Mar. 1985. https://doi.org/10.1109/TBME.1985.325532
  23. R. Almeida, J. P. Martinez, S. Olmos, A.P. Rocha, and P. Laguna, "Automatic delineation of T and P wave using a wavelet-based multiscale approach," International Congress on Computational Bioengineering, pp. 243-247, Sept. 2003.
  24. M. Lemay, V. Jacquemet, A. Forchaz, JM. Vesin, and L. Kappenberger, "Spatiotemporal QRST cancellation method using separate QRS and T-Waves templates," Computers in Cardiology, pp.611-614, Sept. 2005.
  25. 임용재, 오영열, 박태준, 손상혁, "스마트한 신세계로의 초대, 사이버물리시스템," 한국방송통신전파진흥원, Jan. 2013.
  26. 김원태, 전인걸, 이수형, 박승민, "CPS 기술동향," 정보통신산업진흥원, July. 2010.
  27. Designing a digital future: federally funded research and development in networking and information technology, PCAST Report, Dec. 2010.
  28. The embedded computing systems initiative (ARTEMIS), ftp://ftp.cordis.europa.eu/pub/fp7/docs/factsheet_artemis_en.pdf
  29. N. Henke, S. Kadonaga, and L. Kanzler, "Improving japan's health care system," McKinsey&Company, Mar. 2009.
  30. Strategic R&D opportunities for 21st century cyberphysical systems, Foundations for Innovation in Cyber-Physical Systems Workshop, Mar. 2013.
  31. 이광근, "U-Health포럼(u-Health forum korea)," TTA 저널, no. 119, pp. 58-63, Sep. 2008.
  32. R. Mark and G. Moody, MIT-BIH Arrhythmia Database 1997 [Online]. Available: http://ecg.mit.edu/dbinfo.