DOI QR코드

DOI QR Code

Enhancement of Internet of Things (IOT) for Minimizing the Growth Rate of Disease and Cost Reduction

  • SYED ROMAT ALI SHAH (MINHAJ UNIVERSITY LHR) ;
  • ALI ZAIB KHAN (MINHAJ UNIVERSITY LHR) ;
  • SOHAIL ANWAR (MINHAJ UNIVERSITY LHR) ;
  • MUNIB AHMAD (MINHAJ UNIVERSITY LHR)
  • Received : 2024.07.05
  • Published : 2024.07.30

Abstract

Health Related issues has become a savior diseases as growing rapidly they also causing savior issues if they not cure they lead to even death. Fatal Diseases needed to be controlled at early stages to save the patient lives. The Knowledge related to the disease is also important so that it may be cure as soon as possible and also medicine for the illness is also needed to be supplied immediately so that it can be controlled. Some patients also need a continuous monitoring like aged and someone suffering to some fatal disease .IOT based monitoring system with the application of the Raspberry pi and the usage of the Local Area Network to connect the Doctors, Hospital, and Ambulance service also the pharmacy help to start the treatment of the patient effectively. Also acknowledging the doctors and hospital staff will help to save the life of the patient due to knowledge of the disease. Usage such smart and reliable technology will help to monitor the health condition of the patient at home and also connecting with the doctors through the internet will also acknowledge the doctor about the present condition of the patient. This paper presents the effective use of the smart devices and technology to overcome the disease by using such cost effective technology.

Keywords

References

  1. Bhojwani, H., Sain, G. K., & Sharma, G. P. 2018. A hybrid connectivity oriented telemedician system for Indian landscape using Raspberry Pi SBC & IoT. In 2018 3rd Technology Innovation Management and Engineering Science International Conference (TIMES-iCON). 
  2. Nalajala, P., & Lakshmi, S. B. (2018). A Secured IoT Based Advanced Health Care System for Medical Field using Sensor Network. International Journal of Engineering & Technology, 7(2.20), 105-108. 
  3. Chakravorty, D., Islam, S., & Rana, T. K. (2018, May). IoT based patient guidance system using Raspberrypi. In 2018 2nd international conference on electronics, materials engineering & nano- technology (IEMENTech) (pp. 1-4). IEEE. 
  4. Rashid, R., & Shah, M. A. (2018, September). EK-Healthcare: Effectiveness of IoT in the medical field with enhanced features. In 2018 24th International Conference on Automation and Computing (ICAC) (pp. 1-6). IEEE. 
  5. Rohit, S. L., & Tank, B. V. (2018, April). Iot Based Health Monitoring System Using Raspberry PI-Review. In 2018 Second International Conference on Inventive Communication and Computational Technologies (ICICCT) (pp. 997-1002). IEEE. 
  6. A Secured IoT Based Advanced Health Care System for Medical Field using Sensor Network Paparao ( Nalajala1* , S Bhagya Lakshmi2) 
  7. A Survey on 5G Networks for the Internet of Things: Communication Technologies and Challenges 
  8. A Hybrid Connectivity Oriented Telemedician System For Indian Landscape Using Raspberry Pi SBC & IOT
  9. Research Directions for the Internet of Things 
  10. IoT Based Patient Guidance System using Raspberrypi ( Dipra Chakravorty, Saahil Islam, and T.K. Rana ) 
  11. Free medical innovation by patients - no producers required ( Harry DeMonaco - MIT,Pedro Oliveira - Copenhagen Business School , Andrew Torrance - U of Kansas Law School ) 
  12. A Modern, IoT Platform for Medical Engineering: Vein Visualization 
  13. MEDICO-A Simple IoT Integrated Medical Kiosk for the Rural People 
  14. EK-Healthcare: Effectiveness of IoT in the Medical Field with Enhanced Feature 
  15. IOT BASED HEALTH MONITORING SYSTEM USING RASPBERRY PI - REVIEW
  16. Survey of smart health-care systems using internet of things ( IOT ) 
  17. Privacy-Preserving Image Retrieval for Medical IoT Systems: A Blockchain-Based Approach
  18. An IoT Base Model to Monitor Real Time Effect of Drug