Monitor the emergency situations using Tele health Radar System for Remote In-Door Fall Detection
the provision of healthcare remotely by means of telecommunications technology systems and applications are extensively investigated nowadays to enhance the quality of care and, to detect emergency situations and to monitor the well being of elderly people, allowing them to stay at home independently as long as possible. In this paper, an embedded Telehealth system for continuous, automatic, and remote monitoring of real-time fall emergencies is accessible. The system, consisting of a radar sensor and base station, represents a cost effectual and efficient healthcare solution. The implementation of the falt detection data processing technique, based on the least square sup-port vector machines, through a digital signal processor and the management of the communication between radar sensor and base station are detailed. Experimental tests, for a total of 65 mimicked fall incidents, recorded with 16 human subjects (14 men and two women) that have been monitored for 320 min, have been used to validate the proposed system under real situation. The subjects’ weight is between 55 and 90 kg with heights between 1.65 and 1.82 m, while their age is between 25 and 39 years. The experimental results have shown a sensitivity to detect the fall events in real time of 100% without exposure false positives. The tests have been performed in an area where the radar’s operation was not limited by practical situations, namely, signal power, coverage of the antennas, and presence of obstacles between the subject and the antennas, To prevent this situation we as to use the tracking system to using in indoor system.
Keywords- GSM, Contactless, DSP platform, fall detection, health monitoring, least-square support vector machines (LS-SVM), movement classification, radar remote sensing, telehealth systems, Zigbee communication.
Cite this Article
N.bhagya laxmi,   "Monitor the emergency situations using Tele health Radar System for Remote In-Door Fall Detection"
, International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.5, Issue 2, pp.1679-1684, June 2017, Available at :http://www.ijedr.org/papers/IJEDR1702263.pdf