Call for Papers:Vol.8 Issue.5

Submission
Last date		 31-Oct-2022
Acceptance Status In One Day
Paper Publish In Two Days
Submit ManuScript

News & Updates

Submit Article

Dear Authors, Article publish in our journal for Volume-8,Issue-5. For article submission on below link: Submit Manuscript


Join As Board

Dear Reviewer, You can join our Reviewer team without given any charges in our journal. Submit Details on below link: Join As Board


Paper Publication Charges

IJARIIE APP
Download Android App

For Authors

Archives

IJARIIE Board

Downloads

Android App

Download IJARIIE APP

Authors

Title: :  Smart Health Care System Using IOT
PaperId: :  7858
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 4 Issue 2 2018
DUI:    16.0415/IJARIIE-7858
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
V DileepSRM institute of science and technology
G VeeranjaneyuluSRM institute of science and technology
T BhargavSRM institute of science and technology
M NaveenSRM institute of science and technology

Abstract

Computer Engineering
Key words—Internet of Things (IoT); ambient intelligence; monitoring; innovations; leveraged.
Abstract— Diagnosis, and checking of well being is an essential assignment in social insurance industry. Because of time requirement, individuals are not going by doctor's facilities, which may and potentially prompt a great deal of medical problems in a single moment of time. Prevalently a large portion of the social insurance frameworks have been produced to anticipate and analyze the wellbeing of the patients by which individuals who are occupied in their timetable can likewise screen their wellbeing at customary interims. Numerous investigations demonstrate that early expectation is the most ideal approach to cure wellbeing in light of the fact that early determination will assist and caution the patients to know the wellbeing status. Medicinal services being a worldwide issue all the more especially India being a most populated country where greater part of which live in towns denied of social insurance offices on ongoing premise consistently and routinely. With the expanding utilization of innovation, there is a pressing need such a savvy wellbeing checking framework that can discuss between organize gadgets and application which will help the patients and specialists to screen, track and record the patient's delicate information containing restorative data. This paper delineates illuminating medical problems utilizing the most recent innovation, Internet of Things (IoT). It shows the structural audit of keen social insurance framework utilizing Internet of Things(IoT) which is meant to give a Better HealthCare to everybody. Utilizing this framework design, patient's body parameters can be estimated continuously. Sensors gather patients body parameters and exchanges that information to Microcontroller ATMEL 89s52 which additionally exchange that information to the MySQL database server. This MySQL database server deals with the information and gives availability. The patient can see this information with the assistance of Android App. Which one can introduce in Smartphone, or Tablet. In the event that information is unusual then patient gets noti¿cation likewise guardians will get crisis message. With the assistance of various basic leadership calculations choices can be made effortlessly and quick and as indicated by it individuals can approach the database. The patient can check their restorative record Hence, the framework gives a Better HealthCare to everybody and blunder free and smooth correspondence to patients.

Citations

Copy and paste a formatted citation or use one of the links to import into a bibliography manager and reference.

IJARIIE V Dileep, G Veeranjaneyulu, T Bhargav, and M Naveen. "Smart Health Care System Using IOT" International Journal Of Advance Research And Innovative Ideas In Education Volume 4 Issue 2 2018 Page 2333-2339
MLA V Dileep, G Veeranjaneyulu, T Bhargav, and M Naveen. "Smart Health Care System Using IOT." International Journal Of Advance Research And Innovative Ideas In Education 4.2(2018) : 2333-2339.
APA V Dileep, G Veeranjaneyulu, T Bhargav, & M Naveen. (2018). Smart Health Care System Using IOT. International Journal Of Advance Research And Innovative Ideas In Education, 4(2), 2333-2339.
Chicago V Dileep, G Veeranjaneyulu, T Bhargav, and M Naveen. "Smart Health Care System Using IOT." International Journal Of Advance Research And Innovative Ideas In Education 4, no. 2 (2018) : 2333-2339.
Oxford V Dileep, G Veeranjaneyulu, T Bhargav, and M Naveen. 'Smart Health Care System Using IOT', International Journal Of Advance Research And Innovative Ideas In Education, vol. 4, no. 2, 2018, p. 2333-2339. Available from IJARIIE, http://ijariie.com/AdminUploadPdf/Smart_Health_Care_System_Using_IOT_ijariie7858.pdf (Accessed : ).
Harvard V Dileep, G Veeranjaneyulu, T Bhargav, and M Naveen. (2018) 'Smart Health Care System Using IOT', International Journal Of Advance Research And Innovative Ideas In Education, 4(2), pp. 2333-2339IJARIIE [Online]. Available at: http://ijariie.com/AdminUploadPdf/Smart_Health_Care_System_Using_IOT_ijariie7858.pdf (Accessed : )
IEEE V Dileep, G Veeranjaneyulu, T Bhargav, and M Naveen, "Smart Health Care System Using IOT," International Journal Of Advance Research And Innovative Ideas In Education, vol. 4, no. 2, pp. 2333-2339, Mar-App 2018. [Online]. Available: http://ijariie.com/AdminUploadPdf/Smart_Health_Care_System_Using_IOT_ijariie7858.pdf [Accessed : ].
Turabian V Dileep, G Veeranjaneyulu, T Bhargav, and M Naveen. "Smart Health Care System Using IOT." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 4 number 2 ().
Vancouver V Dileep, G Veeranjaneyulu, T Bhargav, and M Naveen. Smart Health Care System Using IOT. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2018 [Cited : ]; 4(2) : 2333-2339. Available from: http://ijariie.com/AdminUploadPdf/Smart_Health_Care_System_Using_IOT_ijariie7858.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads



Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
AUTOMATIC SOCIAL DISTANCING AND FACE MASK VIOLATION DETECTION IN PANDEMIC SITUATION USING YOLO & TENSOR FLOWCOMPUTER SCIENCE & ENGINEERINGDIKSHA YADAV Download
A REVIEW PAPER ON: AN EVALUATION OF IOT-BASED REMOTE SENSING SYSTEM DESIGN AND DEVELOPMENT IN THE AGRICULTURAL SECTORcseMiss Umeshwari P. Patil Download
A RESEARCH ON: AN EVALUATION OF IOT-BASED REMOTE SENSING SYSTEM DESIGN AND DEVELOPMENT IN THE AGRICULTURAL SECTORcseMiss Umeshwari P. Patil Download
FAKE ACCOUNT CONTROL OVER SOCIAL MEDIA NETWORKS USING SUPERVISED MACHINE LEARNING ALGORITHMSMaster of computer applications UPPALAPATI RAMARAJU Download
To propose Hybrid Classification model for the students’ performance predictionComputer Science & Engineering Manoj Kumar Download
BACK PROPAGATION NEURAL NETWORK MODEL WITH WAVELET TRANSFORM FUNCTION TO IMPROVE IMAGE COMPRESSION PERFORMANCECOMPUTER SCIENCE & ENGINEERINGBAL MUKUND MISHRA Download
AN EFFIECIENT CYBER ATTACK DETECTION USING MACHINE LEARNING TECHNIQUESCOMPUTER ENGINEERINGVINISHA.S.S Download
Deep Learning Based Health Data Analysis To Predict Cardiovascular DiseaseComputer science and EngineeringA.Grace suji Download
Review for using Genetic Algorithm in Fiber Optics ManagementComputer Science and EngineeringAhmed L. Khalaf Download
Cipher Security Phishing Attack: Study for Immunizing SystemComputer Science and EngineeringTaif S. Hasan Download
Exhausting RC4 and Blowfish Encryption Techniques in Injection AttacksComputer ScienceDr.P.Senthil Pandian Download
DEEP LEARNING MECHANISM FOR RECOGNITION OF MALARIAL PARASITE IN THICK BLOOD SMEARComputer Science and EngineeringS.Alciya Download
PREDICTING DIFFERENT TYPES OF PADDY LEAF DISEASES USING CONVOLUTIONAL NEURAL NETWORKComputer Science and EngineeringR.Abisha Download
Neural Network Ensemble for Medium Term Forecast of Wind Power Generation: A SurveyComputer ScienceMustapha Lawal Abdulrahman Download
A study of Intrusion Discovery Method Using Genetic Neural NetworkCOMPUTER SCIENCEBrajendra Pratap Singh Download
12