MobiHealthcare System: Body Sensor Network Based M-Health System for Healthcare Application
Affiliation(s)
Shenzhen Institutes of Advanced Technology, Chinese Academy of Science, Shenzhen, China. Taihe Hospital of Traditional Chinese Medicine, Fuyang, China. Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
Shenzhen Institutes of Advanced Technology, Chinese Academy of Science, Shenzhen, China. Taihe Hospital of Traditional Chinese Medicine, Fuyang, China. Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
ABSTRACT
M-health, which is known as the practice of medical and public health supported by mobile devices such as mobile phones and PDAs for delivering medical and healthcare services, is currently being heavily developed to keep pace with the continuously rising demand for personalized healthcare. To this end, the MobiHealthcare system, which provides a personalized healthcare based on body sensor network, is developed. The system includes various body sensors to collect physiological signals specifically for different requirements, a cell phone to facilitate the joint processing of spatially and temporally collected medical data from different parts of the body for resource optimization and systematic health monitoring, a server cluster with great data storage capacity, powerful analysis capabilities to provide data storage, data mining and visualization. Compared with existing M-Health system, the MobiHealthcare system is characteristics of low coupling and powerful parallel computing capabilities. Various healthcare applications have been implemented in the proposed system to demonstrate its effectiveness in providing a powerful platform.
M-health, which is known as the practice of medical and public health supported by mobile devices such as mobile phones and PDAs for delivering medical and healthcare services, is currently being heavily developed to keep pace with the continuously rising demand for personalized healthcare. To this end, the MobiHealthcare system, which provides a personalized healthcare based on body sensor network, is developed. The system includes various body sensors to collect physiological signals specifically for different requirements, a cell phone to facilitate the joint processing of spatially and temporally collected medical data from different parts of the body for resource optimization and systematic health monitoring, a server cluster with great data storage capacity, powerful analysis capabilities to provide data storage, data mining and visualization. Compared with existing M-Health system, the MobiHealthcare system is characteristics of low coupling and powerful parallel computing capabilities. Various healthcare applications have been implemented in the proposed system to demonstrate its effectiveness in providing a powerful platform.
Cite this paper
F. Miao, X. Miao, W. Shangguan and Y. Li, "MobiHealthcare System: Body Sensor Network Based M-Health System for Healthcare Application," E-Health Telecommunication Systems and Networks, Vol. 1 No. 1, 2012, pp. 12-18. doi: 10.4236/etsn.2012.11003.
F. Miao, X. Miao, W. Shangguan and Y. Li, "MobiHealthcare System: Body Sensor Network Based M-Health System for Healthcare Application," E-Health Telecommunication Systems and Networks, Vol. 1 No. 1, 2012, pp. 12-18. doi: 10.4236/etsn.2012.11003.
References
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[1] van Halteren, A.T. and Bults, R.G.A. and Wac, K.E. and Konstantas, D. and Widya, I.A. and Dokovski, N.T. andKoprinkov, G.T. and Jones, V.M. and Herzog, R. , “ Mobile Patient Monitoring: The Mobihealth System,” The Journal on Information Technology in Healthcare, 2 (5). pp. 365-373. ISSN 1479-649X, 2004. [2] G. Z. Yang, Body Sensor Networks. London: Springer-Verlag, pp. 4–13, 2006. [3] Jovanov, E., “Wireless technology and system integration in body area networks for m-health applications,” IEEE EMBS, pp. 7158-7160, 2005. [4] Jovanov, E., C. Poon, et al., "Guest editorial body sensor networks: from theory to emerging applications." IEEE Transactions on Information Technology in Biomedicine, 13(6): 859-863, 2009. [5] Monton, E., J. Hernandez, et al. "Body area network for wireless patient monitoring,” IET Communications, Vol. 2, No. 2, 2008, pp. 215-222. [6] Wac, K., R. Bults, et al., “Mobile patient monitoring: The MobiHealth system,” IEEE EMBS, 1238-1241, 2009. [7] Jones, V., A. Halteren, et al., "Mobihealth: Mobile health services based on body area networks." M-Health, 219-236, 2006. [8] Schmidt, R., T. Norgall, et al., "Body Area Network BAN--a key infrastructure element for patient-centered medical applications." Biomedizinische Technik. Biomedical engineering 47: 365, 2002. [9] Malik M, for the Task Force of the ESC and NASPE. Heart rate variability: standards of measurement, physiological interpretation and clinical use. Circulation vol. 93, pp.1043–1065, 1996. [10] Garcia, T. B. and G. T. Miller, Arrhythmia recognition: The art of interpretation, Jones & Bartlett Learning, 2004.