Using IoT technology for monitoring Alzheimer’s and elderly patients

Author:

Ebrahem Aseel ThamerORCID,Mawfaq Mohamedsheet Al-Hatab MarwaORCID,Al-Jabbar Entisar Younis AbdORCID,Alkhaled Warqaa H.ORCID,Al-Sawaff Zaid HushamORCID

Abstract

Alzheimer’s disease (AD) is a neurological disorder that results in the death of brain cells, causing memory loss, behavioral changes, and cognitive impairment. It drastically affects the individual’s work and social life, often leading to death, and is now the sixth leading cause of mortality worldwide. AD patients have limited mobility, which restricts their movement outside their homes. Thankfully, new internet of things (IoT) applications have made it possible to monitor people with various illnesses in their everyday lives, providing valuable assistance to caregivers. This study aims to create an IoT prototype that can locate an AD patient in real time and remind them to take their medication on schedule via an alarm. The small, lightweight, portable patient carrier has a NodeMCU-23DSP board, a Neo-06 global positioning system (GPS) module, and a wireless modem/Wi-Fi router. Remote patient follow-up through the Blynk 2.0 application on computers and Android devices allows for monitoring of the patient’s medication regimen and daily activities. As AD patients struggle with memory and organization, the prototype’s design enables monitoring of a patient’s course of medication, making it easier for caregivers to provide the necessary assistance. The prototype was tested to demonstrate its efficiency and performance.

Publisher

Institute of Advanced Engineering and Science

Subject

Electrical and Electronic Engineering,Control and Optimization,Computer Networks and Communications,Hardware and Architecture,Information Systems,Signal Processing

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Real-time Vital Signs Monitoring and Data Management Using a Low-Cost IoT-based Health Monitoring System;Journal of Health Management;2024-05-23

2. Integrating Decision Trees with Cloud Computing for Predicting Cognitive Decline in Alzheimer’s Patients;2024 International Conference on Integrated Circuits and Communication Systems (ICICACS);2024-02-23

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