Skip to content

HVS-3584. Smart ECG Monitoring and Voice Alert System with IoT and Arduino.

8,500.00

Heart diseases are becoming a big issue for the last few decades and many people die because of certain health problems. Therefore, heart disease cannot be taken lightly. By analyzing or monitoring the ECG signal at the initial stage this disease can be prevented. So we present this project, i.e. ECG Monitoring with AD8232 ECG Sensor & Arduino with ECG Graph.

Heart diseases are becoming a big issue for the last few decades and many people die because of certain health problems. Therefore, heart disease cannot be taken lightly. By analyzing or monitoring the ECG signal at the initial stage this disease can be prevented. So we present this project, i.e. ECG Monitoring with AD8232 ECG Sensor & Arduino with ECG Graph. This project makes a use of AD8232ECG module to monitor the ECG signal of the patient. APR33A3 voice module is used for voice alert. ESP8266 WI-FI module is used for monitoring the ECG signal into the thingspeak cloud along with date and time. The AD8232 is a neat little chip used to measure the electrical activity of the heart. This electrical activity can be charted as an ECG or Electrocardiogram. Electrocardiography is used to help diagnose various heart conditions.The processed data is then uploaded to the ThingSpeak cloud platform for storage and analysis. In case of abnormal readings or emergencies, the system utilizes the GSM module to send alerts or notifications to caregivers or healthcare providers via SMS. To achieve this task microcontroller loaded program written in embedded C language.This integrated system enables real-time monitoring of cardiac health remotely, providing timely interventions when necessary.

 

The main objective of this project is:
  1. Design a patient health monitoring system using AD8232 ECG sensor.
  2. Wireless monitoring using IOT thingspeak technology.
  3. Alert in abnormal condition using GSM and voice module.
  The major building blocks of this project are:
  • Power supply.
  • Arduino UNO.
  • AD8232 ECG module.
  • APR33A3 Voice module.
  • GSM.
  • ESP8266 WI-FI Module.
  Software’s used:
  • ARDUINO IDE.
  • Processing IDE.
  • Embedded C language.
 

Block Diagram:    

video: