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다수 이용자를 위한 동시적 실시간 심박수 모니터링 시스템

A Simultaneous Real-Time Heart Rate Monitoring System for Multiple Users

  • 하상호 (순천향대학교 컴퓨터공학과)
  • 투고 : 2015.03.19
  • 심사 : 2015.05.12
  • 발행 : 2015.08.31

초록

u-헬스케어 관점에서 볼 때, 심박수(heart rate)는 아픈 사람의 질환을 관리하는 일리스(illness)나 건강한 사람의 건강을 지속적으로 관리하는 웰니스(wellness) 분야에 모두 유용하게 사용된다. 이는 심박수가 질환의 증상을 판단하거나 운동 부하의 지표로서 모두 사용될 수 있기 때문이다. 최근에 착용형 센서(wearable sensors)를 이용하여 상시적으로 심박수를 모니터링하여 이에 기반하여 현재 몸 상태를 점검해볼 수 있는 다양한 심박계(heart rate monitor)와 이와 연동하여 심박수를 이용한 다양한 운동관리 스마트폰 앱이 개발되어 출시되고 있다. 그러나 이러한 스마트폰 앱은 모두 개인 용도로 제한된다. 논문에서는 여러 사람들의 심박수를 동시에 실시간으로 모니터링할 수 있는 시스템을 설계하고, 이를 적용할 수 있는 안드로이드 앱을 개발한다. 개발된 앱의 주요 기능은 다수 이용자에 대한 동시적 심박수 모니터링으로 피트니스 센터에 효과적으로 적용 가능하다.

From the point of view of u-healthcare, heart rate is so useful for both illness for taking care of patients and wellness for improving the level of health and wellbeing. It is because heart rate is a significant clinical variable for all kinds of diseases as well as an indicator of the intensity of exercise. Recently, a number of various wearable heart rate monitors have been released to check people's status in the body by monitoring their heart rates. In addition, a number of smartphone applications have been released to conveniently monitor the status of exercise by using heart rate monitors. However, all of these applications are limited to a personal usage. In this paper, we will design a system to simultaneously monitor heart rates coming from multiple users in a real-time, and develop an Android application to apply the system. The application mainly features a simultaneous monitoring of heart rates coming from multiple users, allowing to be effectively applied to fitness centers.

키워드

참고문헌

  1. J. Kim, S. Kim, H. Kim, et al., "Develpment of Implementation Strategies for u-Health Services Based on the Healthare Professionals' experiences," Telemedcine and e-Health, Vol. 17, No.2, pp.80-87, 2011. https://doi.org/10.1089/tmj.2010.0124
  2. X. Jouven, J-P. Empana, P. J. Schwartz, M. Desnos, et al., "Heart-rate profile during exercise as predictor of sudden death," New England Journal of Medicine, Vol.352, No.19. pp.1951-8, 2005. https://doi.org/10.1056/NEJMoa043012
  3. A. Diaz, M. G. Bourassa, M. C. Guertin, and J. C. Tardif, "Long-term prognostic value of resting heart rate in patients with suspected or proven coronary artery disease," European Heart Journal, Vol.26, No.10, pp.967-974, 2005. https://doi.org/10.1093/eurheartj/ehi190
  4. K. Fox, J. S. Borer, A. J. Camm, N. Danchin, R. Ferrari, J. J. L. Sendon, P. G. Steg, J. C. Tardif, L. Tavazzi, and M. Tendera, "Resting heart rate in cardiovascular disease," Journal of the American College of Cardiology, Vol.50, No.9, pp.823-830, 2007. https://doi.org/10.1016/j.jacc.2007.04.079
  5. P. Palatini, "Heart rate: a strong predictor of mortality in subjects with coronary artery disease," European heart journal, Vol.26, No.10, pp.943-945, May 12, 2005. https://doi.org/10.1093/eurheartj/ehi235
  6. K. A. Eagle, M. J. Lim, O. H. Dabbous, et al., "A validated prediction model for all forms of acute coronary syndrome: estimating the risk of 6-month postdischarge death in an internation registry," JAMA, Vol.291, pp.2727-33, Jun., 2004. https://doi.org/10.1001/jama.291.22.2727
  7. R. Marchioli, F. Avanzini, F. Barzi, et al., "Assessment of absolute risk of death after myocardial infraction by use of multiple-risk factor assessment equations: GISSI-Prevention mortality risk chart," European Heart Journal, Vol.22, pp. 2085-2103, 2001. https://doi.org/10.1053/euhj.2000.2544
  8. C. Knoepfli-Lenzin, B. Haenggli, and U. Boutellier, "Optimised heart rate formlae to monitor endurance training in sedentary individuals,"Journal of Sports Science, Vol.32, No.6, pp. 557-562, 2014. https://doi.org/10.1080/02640414.2013.843015
  9. C. E. Garber, B.. Blissmer, M. R. Deschenes, et al., "Quantity and quality of exercise for developing and maintaining cardiorespiratory, musculoskeletal, and neuromotor fitness in apparently healthy adults: Guidance for prescribing exercise," Medicine and Science in Sports and Exercise, Vol.43, No.7, pp.1344-1359, 2011.
  10. Calories Calculator [Internet], http://www.calories-calculator.net/.
  11. Mio Train with Heart [Internet], http://www.mioglobal.com/.
  12. Samsung Gear S [Internet], http://www.samsung.com/global/microsite/gears/gears_features.html/.
  13. TomTom [Internet], http://www.tomtom.com/.
  14. Fitbit [Internet], http://www.fitbit.com/.
  15. JAWBONE [Internet], https://jawbone.com/.
  16. SYNC Fitness Bands [Internet], http://syncactive.com/products/fitness/.
  17. POLAR [Internet], http://www.polar.com/.
  18. GARMIN [Internet], http://www.garmin.com/.
  19. Wahoo FITNESS [Internet], http://www.wahoofitness.com/.
  20. Carles Gomez, Joaquim Oller, and Josep paradells, "Overview and Evaluation of Bluetooth Low Energy: An Emerging Low-Power Wireless Technology," Sensors, Vol.12, No.9. pp.11732-11753, 2012.
  21. RunKeeper [Internet], http://runkeeper.com/.
  22. Endomondo [Internet], http://endomondo.com/.
  23. Runtastic [Internet], http://www.runtastic.com/.
  24. SPORTS TRACKER [Internet], http://www.sports-tracker.com/.
  25. STRAVA [Internet], http://www.strava.com/.
  26. Mapmy fitness [Internet], http://www.mapmyfitness.com/.
  27. HRM-1000 [Internet], http://www.h3system.com/watch-ring-type-hrm-1000/.
  28. H. Han, M-J Kim, and J. Kim, "Development of real-time notion artifact reduction algorithm for a wearable photoplethysmography," Int'l Conf. on IEEE EMBS, pp. 1538-1541, 2007.
  29. Bodypro [Internet], http://www.bodypro.co.kr/bbs/sub3_1.
  30. David Parsons, "Dynamic Web Application Development using XML and Java," Boston: Cengage Learning, 2008.
  31. SAXParser [Internet], http://docs.oracle.com/javase/7/docs/api/javax/xml/parsers/SAXParser.htm.
  32. W. Liu and E. K. Park, "e-Healthcare Security Solution Framework", Int'l Conf. on Computer Communications and Networks, 2012.