학술논문

A Node MCU Enabled Comprehensive Remote Healthcare Evaluation System for Elder People Care and Support
Document Type
Conference
Source
2023 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES) Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES), 2023 International Conference on. :1-6 Dec, 2023
Subject
Communication, Networking and Broadcast Technologies
Computing and Processing
General Topics for Engineers
Power, Energy and Industry Applications
Signal Processing and Analysis
Temperature sensors
Measurement
Hospitals
Medical services
Electrocardiography
Internet of Things
Servers
Android Application
NodeMCU
Remote Healthcare
Elder People Care
Health Support
IoT
ESP8266
Remote Server
Language
Abstract
The Internet of Things (IoT) has an opportunity to greatly improve our quality of life by providing immediate data that is acquired from an intelligent network of linked devices and then transferred via the internet. In this piece, we have discussed the Remote Medical Diagnosis System and the several life-threatening situations in which it possesses the potential to be a life-saving tool. Sometimes people get sick in areas where there are no hospitals or other medical facilities and they don't make it when they don't get the treatment they need because they can't obtain it. Sometimes they don't make it. This problem is made even more difficult in the rural areas of emerging countries. As part of the presentation, the temperature and heart rate of a person are both read and shown online. Through the use of a web browser, you will have immediate access to all of your medical records. An integrated TCP/IP protocol stack is required in order to send and receive sensor information, such as a patient's heart beat or electrocardiogram (ECG). Using several metrics and Electrocardiogram (ECG) readings, the NodeMCU ESP8266 WiFi module sends patient data to the remote monitoring site. This information may be accessed in real time. The patient's information and settings are stored on a distant Internet of Things server. In this instance, patient data is monitored using a smartphone that is linked to the cloud by a NodeMCU ESP8266. The NodeMCU ESP8266 comes equipped with its own built-in WiFi connectivity. Every user of the system, from doctors and nurses to patients themselves, has easy and rapid access to the system's database, where they may evaluate the findings. The findings of the analysis may be accessed by the patient or the doctor on an Internet of Things website or an Android application, respectively.