Remote patient monitoring through telemedicine has become very usual nowadays. Sensor are attached to the patient's body and they monitor the vital signs during various activity, the data acquires from sensor is given as input to genetic algorithm based activity recognition system.If any deviations are found in vital signs during any activity, it is informed to the physician. Simulation was performed by taking 10 sample patients and some activities. Results prove the efficiency of the algorithm.
by S. M. Sivakama Sundari | Dr. A. Rijuvana Begum "Soft Computing Healthcare Intelligence through Multisensory Activity Recognition"
Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-1 , December 2017,
URL: http://www.ijtsrd.com/papers/ijtsrd5879.pdf
Direct URL: http://www.ijtsrd.com/computer-science/embedded-system/5879/soft-computing-healthcare-intelligence-through--multisensory-activity-recognition/s-m-sivakama-sundari
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