Browse > Article
http://dx.doi.org/10.5369/JSST.2010.19.1.043

Development of the wearable ECG measurement system for health monitoring during daily life  

Noh, Yun-Hong (Department of Ubiquitous IT Engineering, Graduate School of Design & IT, Dongseo University)
Jeong, Do-Un (Division of Computer & Information Engineering, Dongseo University)
Publication Information
Abstract
In this study, wearable ECG measurement system was implemented for health monitoring during daily life. A wearable belt-type ECG electrode worn around the chest by measuring the real-time ECG is produced in order to minimize the inconvenience in wearing. The measured ECG signal is transmitted via an ultra low power consumption wireless data communications unit to personal computer using Zigbee-compatible wireless sensor node. The ECG monitoring program is developed at end user which is personal computer. The measured ECG contains many noises mainly due to motion artifacts. For ECG signal processing, adaptive filtering process is proposed which can reduce motion artifacts efficiently and accurately than digital filter. The experimental results show that a reliable performance with high quality ECG signal can be achieved using this wearable ECG monitoring system.
Keywords
ECG; wearable; USN; adaptive filter; health care;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
연도 인용수 순위
1 오해석, “u-헬스케어 기술 및 표준화 동향”, 한국정보통신기술협회 TTA Journal, no. 112, 2007.   과학기술학회마을
2 신광식, 권준달, 이영동, 정완영, “무선 센서네트워크기술을 활용한 Ad-hoc 홈 네트워크시스템”, 센서학회지, 제16권, 제2호, pp.142-149, 2007.   과학기술학회마을   DOI   ScienceOn
3 M. Akay, M. Sekine, T. Tamura, Y. Higashi, and T. Fujimoto., “Unconstrained monitoring of body motion during walking”, IEEE Engineering in Medicine and Biology Magazine, vol. 22, no. 3, pp. 104-109, 2003.   DOI   ScienceOn
4 V. K. Pandey and P. C. Pandey, “Cancellation of respiratory artifact in impedance cardiography”, Proceedings of the 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference, pp.5503-5506, Shanghai China, 2005.
5 H. J. Baek, J. S. Kim, K. K. Kim, and K. S. Park, “System for unconstrained ECG measurement on a toilet seat using capacitive coupled electrodes: the efficacy and practicality”, Engineering in Medicine and Biology Society, pp. 2326-2328, Vancouver, Canada, 2008.
6 H. Asada, P. Shaltis, A. Reisner, S. Rhee, and RC. Hutchinson, “Wearable PPG-Sensor”, IEEE Engineering in Medicine and Biology Magazine, vol. 22, no. 3, pp. 28-40, 2003.   DOI   ScienceOn
7 J. W. Lee and G. K. Lee, “Design of an adaptive filter with a dynamic structure for ECG signal processing”, International J. Control, Automation, and Systems, vol. 3, no. 1, pp. 137-142, 2005.   과학기술학회마을
8 J. G. Webster, Medical Instrumentation - Application and Design, John Wiley, New Delhi, 1998.
9 E. Jovanov, A. O''Donnel Lords, D. Raskovic, P.G. Cox, R. Adhami, and F. Andrasik., “Stress monitoring using distributed wireless intelligent sensor system”, IEEE Engineering in Medicine and Biology Magazine, vol. 22, no. 3, pp. 49-55, 2003.   DOI   ScienceOn
10 T. R. F. Fulford-Jones, G. Wei, and M. Welsh, “A portable, pow-power, wireless two-lead EKG system”, 26th Annual International Conference of the IEEE EMBS pp. 2141-2144, San Francisco, CA, USA, 2004.
11 E. Jovanov, A. Milenkovic, C. Otto, and P.C Groen, “A wireless body area network of intelligent motion sensors for computer assisted physical rehabilitation”, J. Neuro Engineering and Rehabilitation, vol. 2, no. 6, pp. 1-10, 2005.   DOI   ScienceOn
12 이인광, 김성식, 장종찬, 김군진, 김경아, 이태수, 차은종, “의복착용형 무선 호흡모니터 시스템”, 센서학회지, 제17권, 제2호, pp. 133-142, 2008.   과학기술학회마을   DOI   ScienceOn
13 E. Soria, M. Martínez, J. Calpe, J. F. Guerrero, and A. J. Serrano, “A new recursive algorithm for extracting the fetal ECG”, Revista Brasileira de Engenharia Biomedica, pp.135-139, 1999.
14 J. H. Mejia-García, J. L. Martínez-de-Juan, J. L. Saiz, J. García-Casado, and J. L. Ponce, “Adaptive cancellation of the ECG interference in external electroenterogram”, Proceedings of the 25th Annual International Conference of the IEEE, pp.2639-2642, Cancun, Mexico, 2003.
15 K. Lorincz, D. J. Malan, T. R. F. Fulford-Jones, A. Nawoj, A. Clavel, V. Shnayder, G. Mainland, M. Welsh, and S. Moulton, “Sensor networks for emergency response:challenges and opportunities”, IEEE Pervasive Computing, vol. 3, no. 4, pp. 16-23, 2004.   DOI   ScienceOn
16 M. Koivuluoma, J. Alametsa, and A. Värri, “EMFI as physiological signal sensor, first result in ProHe- Mon project”, Proceedings of URSI XXVI convention on Radio Science and Second Finnish Wireless Communication Workshop, Tampere, Finland, 2004.
17 The MobiHealth Project. Innovative gprs/umts mobile services for applications in healthcare. http://www.mobihealth.org/.
18 박광리, 이경중, 이병채, 정기삼, 윤형로, “스트레스 심전도의 근잡음 제거를 위한 Wavelet Interpolation Filter의 설계”, J Biomed. Eng., vol. 21, no. 5, pp. 495-503, 2000.   과학기술학회마을