Soft Computing Healthcare Intelligence through Multisensory Activity Recognition
S. Begum. International Journal of Trend in Scientific Research and Development, 2 (1):
294-300(December 2017)
Abstract
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. 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 http://www.ijtsrd.com/computer-science/embedded-system/5879/soft-computing-healthcare-intelligence-through--multisensory-activity-recognition/s-m-sivakama-sundari
%0 Journal Article
%1 noauthororeditor
%A Begum, S. M. Sivakama Sundari Dr. A. Rijuvana
%D 2017
%J International Journal of Trend in Scientific Research and Development
%K Embedded Sensor System Telemedicine
%N 1
%P 294-300
%T Soft Computing Healthcare Intelligence through Multisensory Activity Recognition
%U http://www.ijtsrd.com/computer-science/embedded-system/5879/soft-computing-healthcare-intelligence-through--multisensory-activity-recognition/s-m-sivakama-sundari
%V 2
%X 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. 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 http://www.ijtsrd.com/computer-science/embedded-system/5879/soft-computing-healthcare-intelligence-through--multisensory-activity-recognition/s-m-sivakama-sundari
@article{noauthororeditor,
abstract = {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. 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 http://www.ijtsrd.com/computer-science/embedded-system/5879/soft-computing-healthcare-intelligence-through--multisensory-activity-recognition/s-m-sivakama-sundari
},
added-at = {2018-09-01T06:31:06.000+0200},
author = {Begum, S. M. Sivakama Sundari Dr. A. Rijuvana},
biburl = {https://www.bibsonomy.org/bibtex/2bb57e39f476b3132ea63a91012ccc488/ijtsrd},
interhash = {346cfe42ea0c4b783aa7e17e51678b42},
intrahash = {bb57e39f476b3132ea63a91012ccc488},
issn = {2456-6470},
journal = {International Journal of Trend in Scientific Research and Development},
keywords = {Embedded Sensor System Telemedicine},
language = {English},
month = dec,
number = 1,
pages = {294-300},
timestamp = {2018-10-02T11:01:27.000+0200},
title = {Soft Computing Healthcare Intelligence through Multisensory Activity Recognition
},
url = {http://www.ijtsrd.com/computer-science/embedded-system/5879/soft-computing-healthcare-intelligence-through--multisensory-activity-recognition/s-m-sivakama-sundari},
volume = 2,
year = 2017
}