Smart Healthcare monitoring System using MQTT protocol

Appleton Innovations
2 min readAug 30, 2021

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What is the smart Health Monitoring System?

Smart health monitoring IoT devices determine the health condition i.e. rate of the pulse, body temperature, respiratory rate, blood glucose rate, the position of the body, ECG, EEG, and other things by using sensors. By using IoT, we can remotely collect heath data and can be analysed.

Advantages of smart Health Monitoring System

1. Better Quality of Care

2. Improved Patient Outcomes

3. Improved Chronic Condition Management

4. Reduced Emergent Situations and Re-admissions

Project Aim

The Internet of things (IoT) is the prominent approach, which contains a vital amount of smart devices and smart objects are connected to the internet for communicating with each other. IoT devices are used in numerous fields which make humans day to day life more comfortable and easy. These smart objects and devices are used to collect information like collect temperature, blood pressure, sugar level, which are used in healthcare to evaluate health condition of a patient. This collected information uploaded into the cloud so that doctor will make an accurate decision and notify the caretaker or nurse. In this project, pulse rate sensor, body temperature sensor , spo2 sensor , body movement of patient and other parameters are measured and this measured data uploaded to the MQTT server. This system notifies the patient with possible precautionary steps to be practiced by them and it also suggests the patient with medical care and what patient has to do when any critical situation come. This system helps the doctor to monitor his patient from anywhere and anytime.

Components Required

  • NodeMCU (ESP32)
  • Pulse Oximeter Sensors
  • Thermistor sensor
  • ECG sensor

Software used

  • Arduino IDE
  • Adafruit io, Blynk

Real time Implementation

Real time implementation of smart healthcare system using ESP32, MQTT
Real time implementation of Smart Healthcare System using ESP32, Arduino
Building Smart Healthcare system circuit using ESP32 and sensors
Smart Healthcare Data Visualization using Blynk APP
Data Visualization

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Appleton Innovations
Appleton Innovations

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