Browse > Article
http://dx.doi.org/10.5573/ieie.2014.51.6.050

Mobile Healthcare System for Personalized Emergency Management  

Chun, Seung-Man (Kyungpook National University)
Choi, Joo-Yeon (Kyungpook National University)
Park, Jong-Tae (Kyungpook National University)
Publication Information
Journal of the Institute of Electronics and Information Engineers / v.51, no.6, 2014 , pp. 50-59 More about this Journal
Abstract
In mobile healthcare service, the accurate detection and the notification of the emergency situation are important to chronic patients' life. In the existing healthcare service, the medical staff or medical service provider always judges patients' health status by monitoring from the measured from bio-data. However, it is difficult to monitor many patients in real-time simultaneously, because the medical staff should monitor the health status continuously. Furthermore, an emergency condition diagnosis based solely on the statistical level of the bio-data may be difficult, since the emergency judgment of the bio-data might differ depending on the health characteristics of each person such as age, history of disease, gender, etc. In order to solve this problem, this article presents an mobile healthcare system for emergency bio-data management using a personalized emergency policy. The salient feature of the proposed mobile healthcare system is that the characteristics of the health status of an unique patient is defined to the policy, which is used to judge the emergency condition of the bio-data measured from the patient. The prototype of proposed mobile healthcare system has been built to demonstrate the design concept.
Keywords
HL7 CDA;
Citations & Related Records
연도 인용수 순위
  • Reference
1 ISO/IEEE 11073-20601 Standard for "Health Infor matics - Personalized health device communication"- Application profile - Optimized exchange protocol-ISO/IEEE 11073-20601, The Institute of Electrical and Electronics Engineers, 2008.
2 HL7 Clinical Document Architecture (CDA), Release 2.0, Health Level 7, Apr. 2005.
3 X. Shen, "Emerging Technologies for e-healthcare," IEEE Network, Vol. 26, No. 5, pp. 2-3, 2012.   DOI   ScienceOn
4 S. Franklin, et al., "Does the Relation of Blood Pressure to Coronary Heart Disease Risk Change W ith Aging?: The Framingham Heart Study," American Heart Association, Vol. 103, pp. 1245 -1249, 2001.
5 J. Wei and G. Kong, "Block-Based Neural Networks for Personalized ECG Signal Classification," IEEE Transactions on Neural Networks, Vol. 18, No. 6, pp. 1750-1761, Nov. 2007.   DOI   ScienceOn
6 J. Yao and S. Warren, "Applying the ISO/IEEE 1107 3 Standards to Wearable home Health Monitoring Systems,"Journal of Clinical Monitoring and Comp uting, Vol. 19, No. 6, pp. 427-436, Jan. 2006.
7 A. Mense, et al., "Healthy interoperability: A st andard based framework for integrating personal monitoring and personal health device data into medical information systems," Journal on Inform ation Technology in Healthcare, Vol. 7, pp. 214-221, 2009.
8 M. Yang, et al.,"Guideline-driven telemonitoring and follow-up of cardiovascular implantable electronic devices using IEEE 11073, HL7 & IHE profiles," Proc. of IEEE Engineering Medical Biology Society pp. 3192-6, 2011.
9 ISO/IEEE 11073-10404, 10406: 2010 Health Informatics-Personal Health Device Communication - Device Specialization - Pulse Oximeter, The Institute of Electrical and Electronics Engineers, New York, USA, pp. 1-61, Apr. 2008.