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Paper Title : HEALTHCARE SUPERVISING SYSTEM TO MONITOR HEART RATE TO DIAGONIZE AND ALERT HEART ATTACK USING IOT

ISSN : 2395-1303
Year of Publication : 2020
10.29126/23951303/IJET-V6I2P11

Authors:-Dr.E.Punarselvam, N.Gokul, J.Jeyakumar, R.Lenin, S.Praveenkumar

         


Abstract
These days we have an increased number of heart diseases including increased risk of heart attacks. Our proposed system users sensors that allow to detect heart rate of a person using heartbeat sensing even if the person is at home. The sensor is then interfaced to a microcontroller that allows checking heart rate readings and transmitting them over internet. The user may set the high as well as low levels of heart beat limit. After setting these limits, the system starts monitoring and as soon as patient heart beat goes above a certain limit, the system sends an alert to the controller which then transmits this over the internet and alerts the doctors as well as concerned users. Also the system alerts for lower heartbeats. Whenever the user logs on for monitoring, the system also displays the live heart rate of the patient. Thus concerned ones may monitor heart rate as well get an alert of heart attack to the patient immediately from anywhere and the person can be saved on time.This value will continue to grow if no proper solution is found. Internet of Things (IoT) technology developments allows humans to control a variety of high-tech equipment in our daily lives. One of these is the ease of checking health using gadgets, either a phone, tablet or laptop. we mainly focused on the safety measures for both driver and vehicle by using three types of sensors: Heartbeat sensor, Traffic light sensor and Level sensor. Heartbeat sensor is used to monitor heartbeat rate of the driver constantly and prevents from the accidents by controlling through IOT.

Reference
[1] R. Cohen-Almagor, “Internet history,” Int. J. Technoeth., vol. 2, no. 2, pp. 45–64, Apr./Jun. 2011. [2] P. Suresh, J. V. Daniel, V. Parthasarathy, and R. H. Aswathy, “A state of the art review on the Internet of Things (IoT) history, technology and fields of deployment,” in Proc. IEEE Int. Conf. Sci. Eng. Manag. (ICSEMR), Chennai, India, 2014, pp. 1–8. [3] E.Punarselvam,“Robust Facial Expression Recognition using Local Directional Number Version”, International Journal of Innovative Research in Science, Engineering and Technology, ISSN(Online) : 2319 – 8753,ISSN (Print) : 2347- 6710 Vol. 4, Special Issue 6,May 2015,pp 182-186 [4] L. D. Xu, W. He, and S. Li, “Internet of Things in industries: A survey,” IEEE Trans. Ind. Informat., vol. 10, no. 4, pp. 2233–2243, Nov. 2014. [5] Dr.E.Punarselvam,“Effective and Efficient Traffic Scrutiny in Sweet Server with Data Privacy”, International Journal on Applications in Information and Communication Engineering Volume 5 : Issue 2: November 2019, PP 1 – 5 [6] .Abawajy J H, Hassan M M. Federated Internet of Things and Cloud Computing Pervasive Patient Health Monitoring System[J]. IEEE Communications Magazine, 2017, 55(1):48-53. [7] Hemant G, Subhas M, Xiang G, et al. WSN- and IoT-Based Smart Homes and Their Extension to Smart Buildings[J]. Sensors, 2015, 15(5):10350. [8] Qi J, Yang P, Hanneghan M, et al. Ellipse fitting model for improving the effectiveness of life-logging physical activity measures in an Internet of Things environment[J]. Iet Networks, 2016, 5(5):107-113. [9] Dr.E.Punarselvam,“Effective and Efficient Traffic Scrutiny in Sweet Server with Data Privacy”, International Journal on Applications in Information and Communication Engineering Volume 5 : Issue 2: November 2019, PP 1 – 5 [10] Yuenyong S, Nishihara A, Kongprawechnon W, et al. A framework for automatic heart sound analysis without segmentation[J]. Biomedical Engineering Online, 2011, 10(1):13. [11] Dao A T. Wireless laptop-based phonocardiograph and diagnosis[J]. 2015, 3(3):e1178. [12] Pérez-Guzmán R E, García-Bermúdez R, Rojas-Ruiz F, et al. Evaluation of Algorithms for Automatic Classification of Heart Sound Signals[C]// International Conference on Bioinformatics and Biomedical Engineering. Springer, Cham, 2017:536-545. [13] E.Punarselvam, “Big Data using Hadoop Database using python Language to implement Real Time Applications”, International Journal of Engineering Research and development,Vol.8 Issue No.12 Oct 2013 PP(19-22) e-ISSN:2278- 067X,p-ISSN:2278-800X. [14] Tosi D, Olivero M, Perrone G. Lowcost fibre Bragg grating vibroacoustic sensor for voice and heartbeat detection[J]. Applied Optics, 2008, 47(28):5123. [15] Dr.E.Punarselvam,“Supervised and Semi Supervised Machine Learning Clustering Algorithm based on feature selection”, International Journal on Applications in Information and Communication Engineering, Volume 5 : Issue 2: November 2019, PP 19 –24, ISSN (Online) : 2394 – 6237

Keywords
Heart Beat Sensor, IOT, Heart Level.