A Health Monitoring System Using IoT-Based Android Mobile Application
作者机构：College of Computer and Information SciencesJouf UniversitySakakaAl-Jouf73211Kingdom of Saudi Arabia Institute of Computer Science and Information TechnologyThe University of Agriculture PeshawarPeshawar25000Pakistan
出 版 物：《Computer Systems Science & Engineering》 (计算机系统科学与工程（英文）)
年 卷 期：2023年第47卷第11期
页 面：2293-2311页
学科分类：1305[艺术学-设计学（可授艺术学、工学学位）] 13[艺术学] 081104[工学-模式识别与智能系统] 08[工学] 0804[工学-仪器科学与技术] 081101[工学-控制理论与控制工程] 0811[工学-控制科学与工程]
基 金：Deputyship for Research&Innovation Ministry of Education in Saudi Arabia for funding this research work through the Project Number 223202
主 题：ICUs DS18B20 sensors SpO2 AD8232 sensors ECGs Internet of Things
摘 要：Numerous types of research on healthcare monitoring systems have been conducted for calculating heart rate,ECG,nasal/oral airflow,temperature,light sensor,and fall detection *** researchers have done different work in the field of health monitoring with sensor *** researchers used built-in apps,such as some used a small number of parameters,while some other studies used more than one microcontroller and used senders and receivers among the microcontrollers to communicate,and outdated tools for study *** no efficient,cheap,and updated work is proposed in the field of sensor-based health monitoring ***,this study developed an android-based mobile system that can remotely monitor electrocardiograms(ECGs),pulse oximetry,heart rate,and body *** microcontroller’s Wi-Fi device is used to manage wireless data *** findings of the patient are saved on the Firebase server for further usage in the mobile *** performance of the proposed device is tested on ten numbers of different patients age-wise in terms of beats per minute(BPM),ECG,Temperature,and *** system uses temperature,pulse,ECG,blood pressure,and eye blink *** device makes the usage of a tiny pulse sensor that has been designed to provide an accurate and optimal readout of the pulse rate and a temperature sensor is also *** the help of an MCU,our system measures the pulse rate in beats per minute(bpm),blood oxygen level temperature measurements,and ECG readings and communicates this information to the Firebase *** check the performance of the proposed system first,the BPM parameter was checked on the cardiac ***,the proposed model is tested on different patients *** simulation result shows that the BPM reading is not much different than the BPM of the cardiac *** to the simulation findings,the proposed model achieved the best performance as compared to commercially available
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