REAL TIME MEDICAL VICTIM TRACKING SYSTEM DURING CATASTROPHE USING SIMULATION TECHNIQUES

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Published Oct 20, 2021
Dr.R.Velautham GomathiSundari Mayakannan Selvaraju

Abstract

Purpose: The goal of this study is to use location tracking by personnel to monitor the health of medical victims (patients). With the assistance of technology, monitor the patients' health utilising a wireless gadget.

Methodology: The suggested system was created using cutting-edge technologies in the real-time world. Victim Location (Position) Tracking System is the technology employed in this case (VLTS). The system that uses the MEMS Sensor to determine the health or disaster outcome of patients. ARDUINO Software is the software that is used to keep track of the tracking.

Findings: The health status of the person being tracked is the system's key parameter. The health status of the victim is explored using vital signs such as blood pressure, heart rate, hemoglobin, and so on, and the health condition is determined using these vital indicators. If the observed person's health is normal, the system will just track the health parameters. The location information does not have to be identified. If an aberrant health state is detected, GPS records the victim's present location and updates the location data in a webpage with longitude, latitude, and health status through IoT. Thus, the system uses GPS and GSM satellite connection to locate the observed person/victim/patient; they then update the position and patient status information so that the patient's life may be saved with minimal delay.

Originality/value: In this stud, MEMS can detect both linear and angular motion in all three axes, a full body or body segment inertia can be detected. Is a wearable device. The result fully based on vibration. If vibration result is high controller track the result to the concern or the patient’s family members.

How to Cite

Dr.R.Velautham, GomathiSundari, & Selvaraju, M. (2021). REAL TIME MEDICAL VICTIM TRACKING SYSTEM DURING CATASTROPHE USING SIMULATION TECHNIQUES. SPAST Abstracts, 1(01). Retrieved from https://spast.org/techrep/article/view/2877
Abstract 99 |

Article Details

Keywords

IoT, Communication, Tracking, Location, GPS, MEMS Sensor, Vibration, Simulation, Monitoring, Security.

References
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Section
General Session: Technologies For Smart Connected Societies

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