Development and Verification of the System for Heart Rate Detection During Exercise

운동 중 심박수 검출 시스템 개발 및 검증

  • Published : 2007.09.01

Abstract

The aim of this paper is to develop and verify the system which can detect heart rate during exercise by using conductive fabric electrode and transportable measurement module. The experiment was performed under 4 conditions(resting, walking, jogging, running) and 18 subjects data are used. By using the ECG measurement system used in cardiac stress testing as reference value in order to verify the accuracy of the developed system, the relative error and correlation coefficient was calculated for each subject at every 3 seconds. The results have shown that the high correlation between the developed system and the reference system for detecting heart rate during exercise. Relative error and correlation coefficient are 2.27% and 0.9877, respectively. 7 subjects data are omitted in these calculations because of severe noises. Therefore, it is expected that this system could be used as a health monitoring system in ubiquitous environment in the future.

Keywords

References

  1. C. Falcone, M. P.Buzzi, C. Klersy, and P. J. Schwartz, 'Rapid Heart Rate Increase at Onset of Exercise Predicts Adverse Cardiac Events in Patients With Coronary Artery Disease,' Circulation, Vol. 112, pp.1959-1964, 2005 https://doi.org/10.1161/CIRCULATIONAHA.105.545111
  2. Sandvik L, Erikssen J, Ellestad M et al. 'Heart rate increase and maximal heart rate during exercise as a predictor of cardiovascular mortality: a 16-year follow-up study of 1960 healthy men,' Coron. Artery Dis., Vol. 6, pp. 667 - 679, 1995 https://doi.org/10.1097/00019501-199508000-00012
  3. F.M. Coetzee, Z. Elghazzawi, 'Noise Resistant pulse oximetry using a synthetic reference signal,' Vol. 47, No. 8, pp. 124-130, 2000 https://doi.org/10.1109/10.817627
  4. J.G. Webster, Design of Pulse Oximeters, Bristol, U.K.: lOP, 1997
  5. Y. Xiao, S. Xiao, Z. Cao, S. Zhou, and J. Pei, 'The Phonocardiogram Exercise Test,' IEEE Eng. in Medicine and Biology, Vol. 18, pp. 111-115, 1999 https://doi.org/10.1109/51.775497
  6. M. Kingsley, M. J. Lewis, R. E. Marson, 'Comparison of Polar 810s and Ambulatory ECG System for RR Interval Measurement During Progressive Exercise,' Int J Sports Med, Vol. 26, pp. 39-44, 2005 https://doi.org/10.1055/s-2004-817878
  7. F. X. Gamelin, S. Berthoin, and L. Bosquet, 'Yalidity of the Polar S810 Heart Rate Monitor to Measure R-R Intervals at Rest', Medicine & Science in Sports & Exercise,' Vol. 38, No. 5, pp. 887-893, 2006 https://doi.org/10.1249/01.mss.0000218135.79476.9c
  8. P. Leijdekkers, V. Gay, Personal 'Heart Monitoring System Using Smart Phones To Detect Life Threatening Arrhythmias,' Proceedings of the 19th IEEE Symposium on Computer-Based Medical Systems, pp. 157-164, 22-23 June 2006
  9. 신승철, 전영주, 정연희, 김승환, 'u-헬스케어를 위한 웨어러블 모니터링 시스템' 제19회 신호처리합동학술대회, 19권 1호, 2006
  10. 장용원, 신승철, 전영주, 김승환, '전도성 섬유를 이용한 운동 중 생체신호 측정 및 분석' 대한전자공학회 추계 종합학술대회 29권 2호, pp. 800 - 803, 2006
  11. P.S. Hamilton and W.J. Tompkins, 'Quantitative investigation of QRS detection rules using the MIT IBIH arrhythmiac database,' IEEE Trans. Biomed. Eng., Vol.33, pp. 1157-1165, 1986 https://doi.org/10.1109/TBME.1986.325695
  12. W.J. Tomkins, Biomedical Digital Signal Processing, Prentice Hall PTR, 1995
  13. C. de Boor, A Practical Guide to Splines, Springer, 2001