Self aided system in health care monitoring using IOT

https://doi.org/10.53730/ijhs.v6nS5.9231

Authors

  • P. Kanagaraju Assistant Professor in Computer Science and Engineering, K.S.Rangasamy College of Technology, Tiruchengode-637 215, Namakkal District, TamilNadu, India
  • B. Ajaykumar Students of Computer Science and Engineering, K.S.Rangasamy College of Technology, Tiruchengode-637 215, Namakkal District, TamilNadu, India
  • K. Karthikeyan Students of Computer Science and Engineering, K.S.Rangasamy College of Technology, Tiruchengode-637 215, Namakkal District, TamilNadu, India

Keywords:

Long-range, Physiological parameters, Waiting, Life threatening, Biosensors

Abstract

The main aim of this paper is to develop long-range medical health care system and also helps us to monitor the patient’s body 24/7 by using IoT. This technology can track physiological indicators from the patient's body at regular intervals. Hospital staffs face severe difficulty when they are faced with the task of taking care of multiple patients simultaneously. Problems such as waiting in the queue, travelling time, moving patient, waiting for doctor etc. are some of the issues faced by the patients. During an emergency, the situation might get worse. Monitoring the critical patient 24/7 is very important for reducing life threatening risk. This paper has a significant impact on the health-care industry. Continuous and real-time structural health monitoring can help to reduce the risk of collapse and the consequences of potentially lethal scenarios. This system is responsible for collecting pulse, body temperature and heart bit from the patient’s body and send the data by using WIFI-Module. Biosensors interfaced with the micro controller will monitor patient’s vital health. If any of the sensor’s present threshold value is exceeded beneath, an alert will be sent to doctor and the patient’s caretaker.

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Published

18-06-2022

How to Cite

Kanagaraju, P., Ajaykumar, B., & Karthikeyan, K. (2022). Self aided system in health care monitoring using IOT. International Journal of Health Sciences, 6(S5), 2686–2694. https://doi.org/10.53730/ijhs.v6nS5.9231

Issue

Section

Peer Review Articles