Have a personal or library account? Click to login
Secured healthcare monitoring system in wireless body area network using polynomial based technique Cover

Secured healthcare monitoring system in wireless body area network using polynomial based technique

Open Access
|Aug 2019

References

  1. [1] UN (2014), World population ageing 2013, Statistical Papers - United Nations (Ser. A), Population and Vital Statistics Report, UN, New York, https://doi.org/10.18356/30d0966c-en.10.18356/30d0966c-en
  2. [2] Weinstein R. RFID: A technical overview and its application to the enterprise. IT Prof. 2005;7(3)27-33.10.1109/MITP.2005.69
  3. [3] Bulling A, Blanke U, Schiele B. A tutorial on human activity recognition using body-worn inertial sensors. ACM Comput Surveys (CSUR). 2014;46(3):33.10.1145/2499621
  4. [4] Galzarano S, Giannantonio R, Liotta A, Fortino G. A task-oriented framework for networked wearable computing. IEEE Trans Autom Sci Eng. 2016;13(2)621-638.10.1109/TASE.2014.2365880
  5. [5] Watanabe H, Kawarasaki M, Sato A, Yoshida K. Wearable ecg monitoring and alerting system associated with smartphone: iHeart. Int J E-Health Med Commun (IJEHMC). 2013;4(4)1-6.10.4018/ijehmc.2013100101
  6. [6] Milenković A, Otto C, Jovanov E. Wireless sensor networks for personal health monitoring: issues and an implementation. Comput Commun. 2006;29(13):2521-2533.10.1016/j.comcom.2006.02.011
  7. [7] Otto C, Milenković A, Sanders C, Jovanov E. System architecture of a wireless body area sensor network for ubiquitous health monitoring. J Mob Multimedia. 2006;1(4):307-326.
  8. [8] Movassaghi S, Abolhasan M, Lipman J, et al. Wireless body area networks: a survey. IEEE Commun Surv Tutor. 2014;16,(3):1658-168610.1109/SURV.2013.121313.00064
  9. [9] Gope P, Hwang T. BSN-Care: A secure IOT based modern healthcare system using body sensor network. IEEE Sensors J. 2016: 16(5):1368-1376.10.1109/JSEN.2015.2502401
  10. [10] Azariadi D, Tsoutsouras V, Xydis S, Dimitrios D. ECG signal analysis and arrhythmia detection on IoT wearable medical devices. 5th International Conference on Modern Circuits and Systems Technologies (MOCAST), 2016.10.1109/MOCAST.2016.7495143
  11. [11] Venkatasubramanian KK, Banerjee A, Gupta S. Plethysmogram-based Secure Inter-Sensor Communication in Body Area Networks. In: Proceedings - IEEE Military Communications Conference MILCOM. 200810.1109/MILCOM.2008.4753199
  12. [12] Venkatasubramanian KK, Banerjee A, Gupta S. PSKA: Usable and Secure Key Agreement Scheme for Body Area Networks. IEEE Trans Information Technology in Biomedicine. 2010;14(1):60-68.10.1109/TITB.2009.203761720007032
  13. [13] Wang W, Wang H, Peng D, Sharif H. Secure Stochastic ECG Signals Based on Gaussian Mixture Model for e-Healthcare systems. IEEE Systems Journal. 2011;5(4):564-573.10.1109/JSYST.2011.2165597
  14. [14] Yuce MR. Implementation of wireless body area networks for healthcare systems. Sensors and Actuators A: Physical. 2010;162(1):116-129.10.1016/j.sna.2010.06.004
  15. [15] Chakravorthy R. A Programmable service architecture for mobile medical care. 4th Annual. IEEE Int Conf Pervasive Comput Commun Workshop (PERSOMW). 2006.
  16. [16] Anbarjafari G Demirel H. Image super resolution based on interpolation of wavelet domain high frequency subbands and the spatial domain input image. ETRI J. 2010:32(3):390-394.10.4218/etrij.10.0109.0303
  17. [17] Moody GB, Mark RG. The impact of the mit-bih arrhythmia database. IEEE Eng Med Biol Mag. 2001;20(3):45-50.10.1109/51.93272411446209
DOI: https://doi.org/10.2478/pjmpe-2019-0023 | Journal eISSN: 1898-0309 | Journal ISSN: 1425-4689
Language: English
Page range: 171 - 177
Submitted on: Feb 19, 2019
Accepted on: Jun 27, 2019
Published on: Aug 28, 2019
Published by: Polish Society of Medical Physics
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2019 R Shanthapriya, V Vaithianathan, published by Polish Society of Medical Physics
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.