iCare: Personal Health Assistant Using Microsoft Azure Cloud

Authors

  •   S. Krishnaveni Assistant Professor, Software Engineering, SRM University, Chennai - 603 203
  •   B. Jothi Assistant Professor, Software Engineering, SRM University, Chennai - 603 203
  •   J. Jeyasutha Assistant Professor, Software Engineering, SRM University, Chennai - 603 203
  •   S. Sivamohan Assistant Professor, Information Technology, SRM University, Chennai - 603 203

DOI:

https://doi.org/10.17010/ijcs/2016/v1/i1/101492

Keywords:

Healthkit API, Azure Cloud, iOS, Asp.Net, WSDL.
Publication Chronology: Paper Submission Date: March 11, 2016; Paper sent back for Revision: March 21; Paper Acceptance Date: April 04, 2016

Abstract

Nowadays healthcare becomes a critical problem due to lack of availability of expert doctors.In order to overcome this problem we are proposing a personal health Assistant system which will be unified with cloud computing. This paper proposes the iCare Personal Health Assistant from a technical perspective and its benefits for users. iCare personal health assistant monitors patient'shealth in a very appropriate manner and produces a warning when the patient's vital parameters exceeds the normal value. The histological patient data is transferred to the Azure cloud storage that can be accessed by expert doctors and patients via iOS mobile app. iOS 8 App which can read various health data parameters provided by iOS Health Kit Framework and an Azure Web application which collectively stores all the data to perform simple analytics and report on health conditions for a specific time. The Azure Web application will be developed using ASP.NET and hosted in Microsoft Azure Cloud. Azure Web services and Azure Mobile Services are used to send push notifications. Thus, users get the latest health report along with few suggestive actions to remedy that health condition, if any, and this allows users to adjust their nutrition and activities accordingly.

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Published

2016-10-01

How to Cite

Krishnaveni, S., Jothi, B., Jeyasutha, J., & Sivamohan, S. (2016). iCare: Personal Health Assistant Using Microsoft Azure Cloud. Indian Journal of Computer Science, 1(1), 7–11. https://doi.org/10.17010/ijcs/2016/v1/i1/101492

References

[1] G. Bai and G. Malmqvist, “Guide to Good Practice of EHealth,” Research Report, IANIS+GGP ehealth Group, 2007.

[2] T. Martin, E. Jovanov, and D. Raskovic, “Issues in wearable computing for medical monitoring applications: A case study of a wearable ECG monitoring device,” Int. Symp. Wearable Computers ISWC 2000, Atlanta, GA, Oct. 2000.

[3] A. Pantelopoulos and N. G. Bourbakis, “Prognosis - A Wearable Health- Monitoring System for People at Risk: Methodology and Modeling,” IEEE Transactions on Information Technology in Biomedicine, vol. 14, no. 3, 2010.

[4] A. Milenkovic, C. Otto, and E. Jovanov, “Wireless sensor network for personal health monitoring: Issues and an implementation,” Computer Communications, vol. 29.

[5] M. J. Gregoski, M. Mueller, A. Vertegel, A. Shaporev, B. B. Jackson, R. M. Frenzel, S. M. Sprehn, and F. A. Treiber, “Development and validation of a smartphone heart rate acquisition application for health promotion and wellness telehealth applications,” International Journal of Telemedicine and Applications, vol. 2012.

[6] American Heart Association. Available: http://www.americanheart.org, 2007.

[7] D. Lloyd-Jones et al., “Heart disease and stroke statistics-2009 update: a report from the American heart association statistics committee and stroke statistics subcommittee,” Circulation 2009; 119: 41. doi: 10.1161/CIRCULATIONAHA.108.191261

[8] Y. M. Huang, M. Y. Hsieh, H. C. Chao, Hung, S. H., and Park, J. H., "Pervasive, Secure Access to a Hierarchical Sensor-Based Healthcare Monitoring Architecture in Wireless Heterogeneous Networks," IEEE Journal on Selected Areas in Communications, vol. 27, no. 4. doi: 10.1109/JSAC.2009.090505