Health Monitoring using Edge Cognitive Computing Based Smart Health Care
Gauri D. Kumavat1, Santosh Kumar2

1Gauri D. Kumavat, Department of Computer Engineering, Sandip Institute of Technology and Research Center, Nashik.
2Santosh Kumar, Department of Computer Engineering Sandip Institute of Technology and Research Center Nashik.

Manuscript received on October 10, 2019. | Revised Manuscript received on 20 October, 2019. | Manuscript published on November 10, 2019. | PP: 5356-5361 | Volume-9 Issue-1, November 2019. | Retrieval Number: L27191081219/2019©BEIESP | DOI: 10.35940/ijitee.L2719.119119
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Abstract: With an enhancement in technology and development of sensors, they have decided to concern the latest technology in particular areas to increases the Quality of their life. One of the important section of research that has seen an agreement of the latest technology is the healthcare. the people who need healthcare services they have to suffer for long process, to reduce the problem As a result, basically this complete technology would try to resole the healthcare issues. The main goal of the project is to develop a remote healthcare system. It have three main parts. The first and most important section in this process is to detecting the patient current health status using this sensors. second important thing is sending data to cloud storage and the last section is to get the detected data for remote viewing. Remote viewing of the data provided to the doctor will able to monitor a patients health progress aboard from hospital places. The Edge-Cognitive- Computing-based (ECC-based) smart healthcare system. This technology is able to check also distinguish and detect the current status of patient using this sensors. It also accommodate the computing resource appropriation of the complete edge computing network expansive to the health different percentage of each user. The experiments show that the ECC-based healthcare system provide a exceed user background and try to improvement the computing resources moderately, as well as consequentially improving in the durability rates of patients in emergency.
Keywords: Cognitive Computing, Edge Computing, Health care
Scope of the Article: Health care Informatics