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Variable Threshold Method for ECG R-peak Detection

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Abstract

In this paper, a wearable belt-type ECG electrode worn around the chest by measuring the real-time ECG is produced in order to minimize the inconvenient in wearing. ECG signal is detected using a potential instrument system. The measured ECG signal is transmits via an ultra low power consumption wireless data communications unit to personal computer using Zigbee-compatible wireless sensor node. ECG signals carry a lot of clinical information for a cardiologist especially the R-peak detection in ECG. R-peak detection generally uses the threshold value which is fixed. There will be errors in peak detection when the baseline changes due to motion artifacts and signal size changes. Preprocessing process which includes differentiation process and Hilbert transform is used as signal preprocessing algorithm. Thereafter, variable threshold method is used to detect the R-peak which is more accurate and efficient than fixed threshold value method. R-peak detection using MIT-BIH databases and Long Term Real-Time ECG is performed in this research in order to evaluate the performance analysis.

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References

  1. Kong, K. Y., Ng, C. Y., and Ong, K., Web-based monitoring of real-time ECG data. Comput. Cardiol. 27:189–192, 2000.

    Google Scholar 

  2. Ross, P. E., Managing care through the air. IEEE Spectr. 41(12):26–31, 2004.

    Article  Google Scholar 

  3. Jovanov, E., Raskovic, D., Price, J., Chapman, J., Moore, A., and Krishnamurthy, A., Patient monitoring using personal area networks of wireless intelligent sensors. Biomed. Sci. Instrum. 37:373–378, 2001.

    Google Scholar 

  4. Konstantas, D., The Mobihealth Project IST Project IST-2001-36006. European Commission: Deliverable 2.6, http://www.mobihealth.org, 2004.

  5. Shnayder, V., Chen, B.-r., Lorincz, K., Fulford-Jones, T. R. F., and Welsh, M., Sensor networks for medical care. Harvard University Technical Report TR-08-05, April 2005.

  6. Lim, L., and Yee, B., Coach’s companion—athlete’s health monitoring system. University of California, Berkeley, 2005.

  7. Fensli, R., Gunnarson, E., and Gundersen, T., A wearable ECG-recoding system for continuous arrhythmia monitoring in a wireless tele-home-care situation. Proceedings of 18th IEEE Symposium on Computer-Based Medical System (CBMS’05), 2005.

  8. Arzeno, N. M., Dang, Z.-D., and Poon, C.-S., Analysis of first-derivative based QRS detection algorithm. IEEE Trans. Biomed. Eng. 55(2):478–484, 2008.

    Article  Google Scholar 

  9. Jeong, D.-U., and Kew, H.-P., Real-time monitoring of ubiquitous wearable ECG sensor node for healthcare application. ICCSA 2009, Part 1, LNCS, vol. 5592, pp. 868–884, Springer, Heidelberg, 2009.

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Correspondence to Hsein-Ping Kew.

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Kew, HP., Jeong, DU. Variable Threshold Method for ECG R-peak Detection. J Med Syst 35, 1085–1094 (2011). https://doi.org/10.1007/s10916-011-9745-7

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  • DOI: https://doi.org/10.1007/s10916-011-9745-7

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