CFP last date
20 May 2024
Reseach Article

Sensor-Cloud: A Hybrid Framework for Remote Patient Monitoring

by Subasish Mohapatra, K. Smruti Rekha
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 55 - Number 2
Year of Publication: 2012
Authors: Subasish Mohapatra, K. Smruti Rekha
10.5120/8725-2296

Subasish Mohapatra, K. Smruti Rekha . Sensor-Cloud: A Hybrid Framework for Remote Patient Monitoring. International Journal of Computer Applications. 55, 2 ( October 2012), 7-11. DOI=10.5120/8725-2296

@article{ 10.5120/8725-2296,
author = { Subasish Mohapatra, K. Smruti Rekha },
title = { Sensor-Cloud: A Hybrid Framework for Remote Patient Monitoring },
journal = { International Journal of Computer Applications },
issue_date = { October 2012 },
volume = { 55 },
number = { 2 },
month = { October },
year = { 2012 },
issn = { 0975-8887 },
pages = { 7-11 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume55/number2/8725-2296/ },
doi = { 10.5120/8725-2296 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:57:39.402482+05:30
%A Subasish Mohapatra
%A K. Smruti Rekha
%T Sensor-Cloud: A Hybrid Framework for Remote Patient Monitoring
%J International Journal of Computer Applications
%@ 0975-8887
%V 55
%N 2
%P 7-11
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Remote patient monitoring is a crucial/decisive issue in healthcare system. Healthcare systems strive to improve the quality of service and cost effectiveness of care. Due to the distributed computing nature of wireless sensor network, they play an important role in providing solution to healthcare obstacles based on real time data. Sensor networks are responsible for integrating the physical world with digital world. But sensors are constrained with insufficient computational power, less storage resources, limited lifetime & prone to failure. On the other hand cloud is full of huge memory, high band width, etc which swifts the data processing faster and provide quick response to user. In this paper we have proposed a hybrid frame work by integrating sensor network with cloud computing to monitor the remote patient health status and take necessary aid.

References
  1. K. Hameed, "The Application of Mobile Computing and Technology to Health Care Services. " Telematics and Informatics 20. 2 (2003) pp. 99-106.
  2. Dick. Friedman, "Mobile Computing. " Electrical Wholesaling. April1,2006. http://ewweb. com/software.
  3. O'Mara, L. Deborah "Data Streams & Digital Dreams. " Security Dealer & Integrator. 2010. http://www. securityinfowatch. com/
  4. "Two So. Calif. eateries add mobile order processing tools. " Nation's Restaurant News. December 17, 2007. http://www. nrn. com/article.
  5. Cindy. Waxer, "How UPS Is Scanning and Printing Its Way to Savings" http://www. cio. com/article/498056.
  6. Courtney. Howard, "Warfighters on the Digital Battlefield Require Robust Information Technology for Secure, Reliable, Real-time Access to Mission-critical Information. " Military & Aerospace Electronics. June 16, 2010. http://www. militaryaerospace. com.
  7. T. Umedo, , T. Higashino, C. K. Toh, and T. Isu. "An Intervehicular-Communication Protocol for Distributed Detection of Dangerous Vehicles. " IEEE Transactions on Vehicular Technology 59. 2 (2010): 627.
  8. Eileen Colkin Cuneo. "Mobile Care. " InformationWeek. 2004. Online at http://www. informationweek. com/news/
  9. Lang, Kathleen. "MedQuist to Showcase Next Generation of Mobile Web Dictation at HIMSS 2008. " MedQuist. Online at http://www. medquist. com/Portals.
  10. E. Renard, "Implantable Glucose Sensors for Diabetes Monitoring. " Minimally Invasive Therapy & Allied Technologies 13. 2 (2004): pp. 78-86.
  11. Ganapathy, Krishnan, and Aditi Ravindra. "Telemedicine in India: the Apollo Story. "Telemedicine and E-health, Volume: 15 Issue 6: August 6, 2009
  12. "WebMD Launches New Version of Free Mobile Application for Physicians". Lymberis, Smart wearables for remote health monitoring, from prevention to rehabilitation: Current R&D, future challenges, in: Proceedings of 4th International IEEE EMBS Special Topic Conference on Information Technology. Applications in Biomedicine, 2003, pp. 272-275.
  13. M. Pallikonda Rajasekaran, S. Radhakrishnan, P. Subbaraj, Remote patient monitoring system using wireless sensor networks, International Journal of Healthcare Technology and Management 9 (3) (2008) pp. 247_257.
  14. Alexandros Pantelopoulos and Nikolaos G. Bourbakis, "A Survey on Wearable Sensor-Based Systems for Health Monitoring and Prognosis", IEEE Trans. on Systems, Man, and Cybernetics- PART C: Applications and Reviews, USA, Volume- 40, No- 1, January 2010, PP. 4- 10.
  15. Y-T. Zhang, X. Y. Xiang, C. C. Y. Poon, The evaluation of nodes of body sensor networks: Wearable blood pressure measuring devices, in: Proceedings of the International Workshop on Wearable and Implantable Body Sensor Networks, 2006.
  16. Asad Masood Khattak, La The Vinh, Dang Viet Hung, Phan Tran Ho Truc, Le Xuan Hung, D. Guan, Zeeshan Pervez, Manhyung Han, Sungyoung Lee, and Young-Koo Lee, "Context- aware Human Activity Recognition and Decision Making", IEEE HealthCom, Korea, 2010, PP. 113- 117.
  17. Asad Masood Khattak, Zeeshan Pervez, Koo Kyo Ho, Sungyoung Lee, Young- Koo Lee, "Intelligent Manipulation of Human Activities using cloud computing for u- Life Care", IEEE Annual Int. Symposium on Applications and the Internet, Korea, 2010.
  18. The oxford centre for e-health. http://www. medicine. ox. ac. uk.
  19. The biomedical informatics group at Nottigham University. http://www. eee. nott. ac. uk/medical/.
  20. Computer assisted reporting of electrocardiograms, Glasgow University. Http://www. gla. ac. uk/departments.
  21. " How are you feeling? A social network model to monitor the health of post operative patients. " James J. Mulcahy, Shilong Huang, Junwei Cao and Fan Zhang.
  22. J. Thirunavukkarasu, Dr. N. Kumaratharan. "Sensor enabled patient monitoring system using cloud computing concepts" vol. 2 issue 2, feb. 2012, pp. 247-252.
  23. Carlos Oberdan Rolim, Fernando Luiz Koch, Carlos Becker Westphall, Jorge Werner, Armando Fracalossi, Giovanni Schmitt Salvador, "A Cloud Computing Solution for Patient's Data Collection in Health Care Institutions. "
Index Terms

Computer Science
Information Sciences

Keywords

Sensor network cloud computing sensor cloud architecture Patient Monitoring