Research Article
Patient Localization using RFID in Wireless Insite Propagation & Neural Network
@INPROCEEDINGS{10.4108/eai.25-10-2023.2348738, author={Prince Okoto Siaw and Ebenezer Adjei and Ahmad Aldelemy and Claudia Barbosa}, title={Patient Localization using RFID in Wireless Insite Propagation \& Neural Network}, proceedings={Proceedings of the 3rd International Multi-Disciplinary Conference: “Integrated Sciences and Technologies”, IMDC-IST 2023, 25-27 October 2023, Yola, Nigeria}, publisher={EAI}, proceedings_a={IMDC-IST}, year={2024}, month={8}, keywords={remote access epilepsy seizure wireless sensors neural network}, doi={10.4108/eai.25-10-2023.2348738} }- Prince Okoto Siaw
Ebenezer Adjei
Ahmad Aldelemy
Claudia Barbosa
Year: 2024
Patient Localization using RFID in Wireless Insite Propagation & Neural Network
IMDC-IST
EAI
DOI: 10.4108/eai.25-10-2023.2348738
Abstract
Due to strains on healthcare and staff shortages, longer lifespans and improved quality of life have led to inadequate healthcare, especially for individuals with epileptic seizures, particularly those living alone. To address this, engineers are focusing on wireless communication and technology to develop tools that alleviate pressure on healthcare. This study concentrates on monitoring patients during and after certain major or minor surgeries using wireless sensors (RFID) and an application in a smart room setup. The system relies on two sophisticated power measurement models for location detection, including lying down and falling. A neural network in MATLAB learns power transmission variations for accurate prediction. Simulations replicate empty room scenarios for lying down and falling positions. Data is stored in cloud databases and accessible through a real-time app using APIs and IoT technology. This research aims to enhance patient monitoring and response during incidents while lessening strain on healthcare systems.
