IOT Based ECG Monitoring and Analysis System with Machine Learning
Prajwal Khupat, Usha Barapatre, Nikita Khadatkar, Sneha Badge, Pooja Meharkar, Shweta Bhelonde
International Journal of Computational and Electronic Aspects in Engineering
Volume 2: Issue 3, July 2021, pp 51-56
Author's Information
Prajwal Khupat1
Corresponding Author
1Department of Computer Engineering, Smt. Radhikatai Pandav College of Engineering, Nagpur, India
prajwalkhupat5@gmail.com
Usha Barapatre1, Nikita Khadatkar1, Sneha Badge1
1Department of Computer Engineering, Smt. Radhikatai Pandav College of Engineering, Nagpur, India
Shweta Bhelonde2
2Assistant Professor, Department of Computer Engineering, Smt. Radhikatai Pandav College of Engineering, Nagpur, India
Abstract:-
Internet of Things is that the new revolution that's about to impact each side of our lives. web of Things (IOT) is the new technology which incorporates the gathering of Sensors, Actuators, methods and alternative development boards (e.g., Raspberry pi, Arduino etc.) to gather the info from different sources relying upon domain of application, process the inhabitable data before causing to distant cloud or mobile application depending upon the requirement. The foremost promising application of IOT is within the field of health care sector. In some countries, folks still don't have access to quality health facilities due to different barriers. The physical distance between patient and clinic is one among the foremost reasons. This paper studies the applying of IOT in health care domain and a system is planned to observe the ECG of the distant patient. Smart and reasonable health care is more and more in demand to satisfy the requirements of the growing human population and medical expenses. Graph monitoring is an extensively studied and applied approach to identification heart disease.Index Terms:-
IOT, ECG sensor, machine learning, web applicationREFERENCES
-
Mehmet Tastan, IOT based Wearable Smart Health Monitoring System, Celal Bayar University Journal of Science, 2018, 343-350.
- Syed Misbahuddin, JunaidAhmed Zubairi,AbdulRahman Alahdul, Muhammad Arshad Malik, IOT- based Ambulatory Vital Signs Data Transfer System, Hindawi Journal of Computer Networks and Communications, 2018, 8 pages.
- Duarte Dias, Joao Paulo Silva Cunha, Wearable Health Devices-Vital Sign Monitoring Systems and Technologies, MDPI Journal, 2018, 18(8):2414.
- K.Satwik, N.V.K.Ramesh, SK.Reshma, Estimation and Monitoring of Vital Signs in the Human Body by using Smart Device, International Journal of Innovative Technology and Exploring Engineering, 2019, 1035-1038.
- Faisal Jamil, Shabir Ahmad, Naeem Iqbal, Do-HyeunKim, towards a Remote Monitoring of Patient Vital Signs Based on IOT-Based Block chain Integrity Management Platforms in Smart Hospitals, MDPI Journal, 2020, 20, 2195.
- Mehak Chhabra, Manik Kalsi, “Real time ECG monitoring system based on Internet of Things (IOT), IJSRP journal, 2017, 547-550.
- Zhe Yang, Qihao Zhou, Lei Lei, Kan Zheng, “An IOT-cloud Based Wearable ECG Monitoring System for Smart Healthcare”, Journal of Medical System 40(12):286, 2016.
- Jorge Gomez, Byron Oviedo, Emilio Zhuma, “Patient Monitoring System Based on Internet of Things”, Computer Science 83(2016), 90-97.
- Jeevan Karle, Haftu T Reda, Soo Y Shin, “An architecture for smart health monitoring system based on Fog Computing”, Journal of Communication, 2017, 12(4), 228- 233.
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