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Journal of Medical Systems

, Volume 35, Issue 4, pp 559–569 | Cite as

Development of a Portable Linux-Based ECG Measurement and Monitoring System

  • Tan-Hsu TanEmail author
  • Ching-Su Chang
  • Yung-Fa Huang
  • Yung-Fu Chen
  • Cheng Lee
Original Paper

Abstract

This work presents a portable Linux-based electrocardiogram (ECG) signals measurement and monitoring system. The proposed system consists of an ECG front end and an embedded Linux platform (ELP). The ECG front end digitizes 12-lead ECG signals acquired from electrodes and then delivers them to the ELP via a universal serial bus (USB) interface for storage, signal processing, and graphic display. The proposed system can be installed anywhere (e.g., offices, homes, healthcare centers and ambulances) to allow people to self-monitor their health conditions at any time. The proposed system also enables remote diagnosis via Internet. Additionally, the system has a 7-in. interactive TFT-LCD touch screen that enables users to execute various functions, such as scaling a single-lead or multiple-lead ECG waveforms. The effectiveness of the proposed system was verified by using a commercial 12-lead ECG signal simulator and in vivo experiments. In addition to its portability, the proposed system is license-free as Linux, an open-source code, is utilized during software development. The cost-effectiveness of the system significantly enhances its practical application for personal healthcare.

Keywords

Portable Linux-based ECG measurement and monitoring system Twelve-lead ECG signals Embedded Linux platform Open-source codes 

Notes

Acknowledgements

The authors would like to thank the National Science Council of the Republic of China, Taiwan for financially supporting this research under Contract No. NSC 97-2221-E-027-095. We would also like to thank TAINET Communication System Corp. and Biologic Technology Inc. for the paramount collaboration and commitment to this research.

References

  1. 1.
    VIP Information, http://www.cqvip.com/.
  2. 2.
  3. 3.
    Belkic, K. B., Psychosocial factors: Review of the empirical data among men. In: Schnall, P. (Ed.), The workplace and cardiovascular disease. Occupational Medicine: State of the Art ReviewsHanley and Belfus, Philadelphia, pp. 24–46, 2000.Google Scholar
  4. 4.
    Schnall, P. L., Landsbergis, P. A., and Baker, D., Job strain and cardiovascular disease. Annu. Rev. Public health. 15:381–411, 1994.CrossRefGoogle Scholar
  5. 5.
    Kristensen, T. S., Kronitzer, M., and Alfedsson, L., Social factors, work, stress and cardiovascular disease prevention. Eur. Heart Netw. 1–35, 1998.Google Scholar
  6. 6.
    Landsbergis, P. A., et al., Work stressors and cardiovascular disease, Work: A. J. Prev., Assess. Rehabil. 17 (3)191–208, 2001.Google Scholar
  7. 7.
    Khatib, I. A., et al., A multiprocessor system-on-chip for real-time biomedical monitoring and analysis: ECG prototype architectural design space exploration. ACM Transact. Des. Automat. Electron. Syst. 13 (2)1–21, 2008.MathSciNetCrossRefGoogle Scholar
  8. 8.
    Tsuji, H., et al., Electrophysiology/Arrhythmias/Pacing reduced heart rate variability and mortality risk in an elderly cohort, the Framingham Heart Study, Circulation. 90 (2)878–883, 1994.Google Scholar
  9. 9.
    Nolan, J., et al., Prospective study of heart rate variability and mortality in chronic heart failure: results of the United Kingdom heart failure evaluation and assessment of risk trial (UK-Heart), 98:1510–1516, 1998.Google Scholar
  10. 10.
    Bojanic, D., Petrovic, R., Jorgovanovic, N., and Popovic, D. B., Dyadic wavelets for real-time heart rate monitoring. In Proceedings of IEEE International Conference on Neural Network Applications, pp. 133–136, 2006.Google Scholar
  11. 11.
    Huppenbauer, H., Wagner, T., Hombach, V., and Hoher, M., Concept for the integration of PC based ECG devices into an existing departmental information system. In Proceedings of IEEE International Conference on Computers Cardiology, pp. 263–266, 1997.Google Scholar
  12. 12.
    Low, Y. F, Mustaffa, I. B, Saad, N. B. M., and Hamidon, A. H. B., Development of PC-based ECG monitoring system. In Proceedings of IEEE International Conference on Research and Development, pp. 66–69, 2006.Google Scholar
  13. 13.
    Chang, C. S., Chen, H. T., Tan, T. H., and Chen, Y. F., PC-based ECG signal analysis using artificial neural network. In Proceedings of IEEE International Conference on Machine Learning and Cybernetics, pp. 3334–3340, 2008.Google Scholar
  14. 14.
    Kara, S., Kemaloglu, S., and Kirbas, S., Low-cost compact ECG with graphic LCD and phonocardiogram system design. J. Med. Syst. 30 (3)205–209, 2006.Google Scholar
  15. 15.
    Ho, C. S., et al., Design of portable ECG recorder with USB storage. In Proceedings of IEEE International Conference on Electron Devices and Solid-State Circuits, pp. 1095–1098, 2007.Google Scholar
  16. 16.
    Wei, Y. C., Lee, Y. H., and Young, M. S., A portable ECG signal monitor and analyzer. In Proceedings of IEEE International Conference on Bioinformatics and Biomedical Engineering, pp. 1336–1338, 2008.Google Scholar
  17. 17.
    Agrawal, S. S., and Mane, V. M., Bio-Medical Electronics with Oral Question and Answers, Nirali Prakashan, 2009.Google Scholar
  18. 18.
    Fluke Corporation, PS400 Patient Simulator, http://www.fluke.com/.
  19. 19.
    Fang, D. Q., and Liu, H. X., System and method for detecting and locating heart disease, United States Patent 6, 638, 232 B1, 2003.Google Scholar
  20. 20.
    Gavidia, L., et al., PC based ECG acquisition and analysis system for psychophysiology. In Proceedings of IEEE International Conference on Medicine and Biology Society, pp. 825–826, 1991.Google Scholar
  21. 21.
    Segura-Juarez, J. J., Cuesta-Frau, D., Samblas-Pena, L., and Aboy, M., A microcontroller-based portable electrocardiograph recorder. IEEE Trans. Biomed. Eng. 51 (9)1686–1690, 2004.Google Scholar
  22. 22.
    Carr, J. J., and Brown, J. M., Introduction to biomedical equipment technology. Prentice Hall, Upper Saddle River, 2001.Google Scholar
  23. 23.
    Analog Devices, Inc., http://www.analog.com/.
  24. 24.
    Prolific Technology Inc., http://www.prolific.com.tw/.
  25. 25.
    Marcus, M. L., and Biersach, B. R., Regulatory requirements for medical equipment. IEEE instrum. Meas. Mag. 6 (4)23–29, 2003.CrossRefGoogle Scholar
  26. 26.
    Li, Q., and Yao, C., Real-time concepts for embedded systems, San Francisco: CMP, 2003.Google Scholar
  27. 27.
    Nokia Corporation, http://qt.nokia.com/.
  28. 28.
    Alfaouri, M., Daqrouq, K., Abu-Isbeih, I. N., and Khalaf, E. F., Quality evaluation of reconstructed biological signals. Am. J.Appl. Sci. 6:187–193, 2009.Google Scholar

Copyright information

© Springer Science+Business Media, LLC 2009

Authors and Affiliations

  • Tan-Hsu Tan
    • 1
    Email author
  • Ching-Su Chang
    • 1
  • Yung-Fa Huang
    • 2
  • Yung-Fu Chen
    • 3
  • Cheng Lee
    • 1
  1. 1.Department of Electrical EngineeringNational Taipei University of TechnologyTaipeiTaiwan
  2. 2.Department of Information and Communication EngineeringChaoyang University of TechnologyTaichungTaiwan
  3. 3.Department of Health Services AdministrationChina Medical UniversityTaichungTaiwan

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