Browse > Article
http://dx.doi.org/10.6109/jkiice.2014.18.8.2008

Development of Mobile Healthcare System Using ECG Measurement  

Kim, Seong-Woo (Department of Computer Software Engineering, Dong-Eui University)
Shin, Seung-Chul (Solmitech Co., Ltd.)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.18, no.8, 2014 , pp. 2008-2016 More about this Journal
Abstract
With the increased attention about health care and management of heart diseases, ubiquitous healthcare services and related devices have been actively developed recently. In this paper we developed a mobile healthcare system which consists of smartphone and patch-type ECG measuring device. This system is capable of monitoring, storing, and sending bio signals such as ECG, heart rate, heart rate variability as well as exercise management functions through heart rate zones. With monitoring bio signal continuously by mobile healthcare system and wearable device like us, people can prevent chronic disease and maintain good health. Here we report our implementation results on real platforms.
Keywords
bio signals; electrocardiogram; heartrate zone; mobile healthcare; QRS complex;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Solmitech Corporation. Solmitech products [Inernet]. Available: http://www.solmitech.co.kr.
2 Isansys Lifecare Corporation. isansys products [Internet]. Available: http://isansys.com/.
3 Corventis Corporation. corventis products [Internet]. Available: http://www.corventis.com.
4 K Itao, T Umeda, G Lopez, and M Kinjo, "Human recorder system development for sensing the autonomic nervous system", IEEE Sensors, pp423-426, 2008.
5 J. Pan and W. Tompkins, "A real-time QRS detection algorithm", IEEE Trans. Biom. Eng., vol. 32, pp 230-236, 1985.
6 S.-C. Shin, J.-H. Kang, and S.-H. Kim, "Detection of ECG characteristic Points for Heart Disease Diagnosis", Proceeding of Korea Information Science Conference, Vol. 29, No. 2, 2005.
7 C. Li, C. Zheng, and C. Tai, "Detetion of ECG characteristic points using wavelet transforms", IEEE Trans. Biom. Eng., vol. 42, pp 21-27, 1995.   DOI   ScienceOn
8 E. Soria-Olivas et al., "Application of adative signal processing for determining the limits of P and T waves in an ECG", IEEE Trans. Biom. Eng., vol. 45, pp 1077-1080, 1998.   DOI
9 B. S. Reddy et. al, "Detection of P waves in Resting ECG: A Preliminary Study", Proc. of CINC, pp. 87-90, 1992.
10 G. E. Billman, "Heart Rate Variability - A Historical Perspective", Frontiers in Physiology, vol. 2, no. 86, 2011.
11 B.Mackenzie, Heart Rate Training Zones [Internet]. Available: http://www.brianmac.co.uk/hrm1.htm