A Review on Health conditions monitoring for Body Area Network using Clustering

Authors

  • Shaikh Ayaz Shaikh Mahmood Student, Department of Computer Engineering, LSSBM Padm. Dr. V. B. Kolte college of Engineering Malkapur, Amravati University
  • Dr. M. S. Kathane Project Guide for ME Student at LSSBM Padm. Dr. V. B. Kolte college of Engineering Malkapur, Amravati University

Keywords:

WBAN, WSN, Cloud Computing, K-Mean Clustering Algorithm, Rijndael AES security Algorithm

Abstract

Social insurance frameworks utilize a therapeutic content mining which have been progressively encouraging wellbeing condition observing and illness demonstrating. Framework takes a shot at the Personal Health Information (PHI) of the client. Social insurance frame work concedes clients access to scope of wellbeing data and therapeutic information. Advantage of the framework is all the data about infection, safety measures and social insurance are store at one place. Shockingly, designating both capacity and calculation to the untreated substance would bring a progression of security and protection issues. One of the disputable issues for PHI is the manner by which the innovation could compromise the protection of patient wellbeing data. The proposed framework concentrated on fine-grained protection saving static therapeutic content access and investigation, which can barely bear the cost of the dynamic wellbeing condition monitoring.

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Published

2018-12-19

How to Cite

Mahmood, S. A. S., & Kathane, D. M. S. . (2018). A Review on Health conditions monitoring for Body Area Network using Clustering. International Journal of Technical Innovation in Modern Engineering & Science, 4(12), 86–92. Retrieved from https://ijtimes.com/index.php/ijtimes/article/view/82