An Energy Efficient, Minimally Intrusive Multisensor Intelligent System For Health Monitoring Of Elderly People

1H.Yan, H.Huo, Y.Xu, and M.Gidlund, Wireless Sensor Network Based E-Health System – Implementation and Experimental Results, IEEE Transactions on Consumer Electronics, vol. 56, 2010, pp. 2288-2295.10.1109/TCE.2010.5681102Search in Google Scholar

2Y. D. Lee and W. Y. Chung, Wireless sensor network based wearable smart shirt for ubiquitous health and activity monitoring, Sensors and Actuators B: Chemical, vol.140, 2009, pp. 390–395.10.1016/j.snb.2009.04.040Search in Google Scholar

3S. Guillen, M. T. Arredondo, V. Traver, J. M. Garcia, and C. Fernandez, Multimedia telehomecare system using standard TV set, IEEE Trans. Inf. Technol. Biomedical, vol.49, 2002, pp.1431-1437.10.1109/TBME.2002.80545712542238Search in Google Scholar

4S.Moller, T.Newe, S.Lochmann, Prototype of a secure wireless patient monitoring system for the medical community, Sensors and Actuators A: Physical, vol.173, 2012, pp. 55-65.10.1016/j.sna.2011.10.016Search in Google Scholar

5E. Monton, J.F. Hernandez, J.M. Blasco, T. Herve, J. Micallef, I. Grech, A. Brincat and V. Traver, Body area network for wireless patient monitoring, IET Communications, vol.2, 2008, pp. 215-222.10.1049/iet-com:20070046Search in Google Scholar

6K.C. Tseng, A.M.K.Wong, C.L.Hsu,T.H.Tsai, C.M. Han, and M.R.Lee, The iFit: An Integrated Physical Fitness Testing System to Evaluate the Degree of Physical Fitness of the Elderly, IEEE Trans. Biomed Engineering,vol.60, 2013, pp. 184-188.10.1109/TBME.2012.221135722899570Search in Google Scholar

7A. M. Tabar, A. Keshavarz, and H. Aghajan, Smart home care network using sensor fusion and distributed vision-based reasoning, Proc. 4^th ACM International Workshop on Video Surveillance and Sensor Networks, 2006.10.1145/1178782.1178804Search in Google Scholar

8N.K. Suryadevara, A. Gaddam, R.K. Rayudu, S.C. Mukhopadhyay, “Wireless sensors network based safe home to care elderly people: Behaviour detection, Sensors and Actuators A: Physical, vol. 186, 2012, pp. 277– 283.10.1016/j.sna.2012.03.020Search in Google Scholar

9N. Samanta, A.K.Chanda, C. Roychaudhuri, Optimized multi sensor wireless system for elderly health monitoring, Proc. 6^th International Conference on Sensing Technology, pp.151156, 2012, Kolkata, India.10.1109/ICSensT.2012.6461660Search in Google Scholar

10T.Y.Yeh, Y.N.Patt, Two level adaptive training branch prediction, Proc. 24^th Ann. Int’l Symp. Micro architecture, pp.51-61, 1991.10.1145/123465.123475Search in Google Scholar

11N.K. Suryadevara, S.C. Mukhopadhyay, R. Wang, R.K. Rayudu, Forecasting the behavior of an elderly using wireless sensors data in a smart home, Engineering Applications of Artificial Intelligence, Volume 26, Issue 10, November 2013, Pages 2641-2652, ISSN 0952-1976, http://dx.doi.org/10.1016/j.engappai.2013.08.004.10.1016/j.engappai.2013.08.004Search in Google Scholar

12N.K. Suryadevara and S.C. Mukhopadhyay, “Wireless Sensor Network Based Home Monitoring System for Wellness Determination of Elderly”, IEEE Sensors Journal, Vol. 12, No. 6, June 2012, pp. 1965-1972.10.1109/JSEN.2011.2182341Search in Google Scholar

13K. Kaur, S. C. Mukhopadhyay, J. Schnepper, M. Haefke and H. Ewald, “A Zigbee Based Wearable Physiological Parameters Monitoring System”, IEEE Sensors Journal, Vol. 12, No. 3, March 2012, pp.423-430.10.1109/JSEN.2010.2091719Search in Google Scholar

14A. Gaddam, S. C. Mukhopadhyay and G. Sen Gupta, “Elderly Care Based on Cognitive Sensor Network”, IEEE Sensors Journal, Vol. 11, No. 3, March 2011, pp. 574-581.10.1109/JSEN.2010.2051425Search in Google Scholar

15S. C. Mukhopadhyay, Anuroop Gaddam and Gourab S. Gupta, Wireless Sensors for Home Monitoring - A Review, Recent Patents on Electrical Engineering 1, 32-39, 2008.10.2174/1874476110801010032Search in Google Scholar