Patient Monitoring System with Miniaturization of Sensors
S. Geetha1, Shilpa Pande2, P. Deepa Lakshmi3, Sheetal R4
1S.Geetha, Department of ISE, CMR Institute of Technology, Bengaluru (Karnataka), India.
2P.Deepa Lakshmi, Department of CSE, Kalasalingam Academy of Research and Education College, (Tamil Nadu), India.
3Shilpa Pande, Department of ISE, CMR Institute of Technology, Bengaluru (Karnataka), India.
4Sheetal R, Department of ISE, CMR Institute of Technology, Bengaluru (Karnataka), India.
Manuscript received on 24 November 2019 | Revised Manuscript received on 18 December 2019 | Manuscript Published on 30 December 2019 | PP: 495-501 | Volume-9 Issue-1S4 December 2019 | Retrieval Number: A11111291S419/19©BEIESP | DOI: 10.35940/ijeat.A1111.1291S419
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Abstract: The quality of human life has improved with the technological advancement and miniaturization of sensors. Healthcare sector has adopted the new technology with the results of related research. Still, healthcare services are not easily affordable in developing countries. This paper aims to reduce the expenses of healthcare system through designing a remote healthcare system comprising of three modules. The first module deals with detection of patient’s vitals using sensors. Second module is to collect and analyze the data and can be sent back to the doctor or guardian through Email and/or SMS alerts in case of any emergencies using Arduino. Third module implemented by K nearest neighbor classification algorithm is used to make runtime decisions if the alert message is not answered by doctors. By implementing these three modules, we achieved a better results in prediction and accuracy than the Attribute based credential and Amrita IoT-based Medical.
Keywords: Wireless Sensor Networks, Remote Monitoring, Arduino, GSM, KNN, PMSMS.
Scope of the Article: Network Performance; Protocols; Sensors