Skip to content

This system measures heart rate, temperature, and SpO2 levels using real-time sensors. Includes fall detection via MPU sensor—ideal for elderly or patient care. Health data is shown on a live dashboard, enabling remote monitoring, early alerts, and smart health management.

License

Notifications You must be signed in to change notification settings

Awais-Asghar/Smart-Health-Tracking-System

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

15 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Smart-Health-Tracking-System

Project Status Microcontroller Sensors Language IDE

Image

Project Description

The Smart Health Tracking System is a real-time, wearable IoT-based solution that monitors heart rate, temperature, and SpO2 levels using real-time sensors. Includes fall detection via MPU sensor—ideal for elderly or patient care. Health data is shown on a live dashboard, enabling remote monitoring, early alerts, and smart health management.

It measures:

  • ECG (heart activity)
  • SpO₂ and Heart Rate
  • Body Temperature
  • Motion and Fall Detection

Image

Key Features:

  • Built using Arduino with embedded C/C++
  • Real-time data transmission via Bluetooth
  • Displays data on mobile, laptop, or serial plotter
  • Triggers alerts on abnormal readings
  • Validated through real-patient testing

Image


Image

Components Used

  • Arduino UNO
  • AD8232 – ECG sensor
  • MAX30100 – Heart Rate & SpO₂
  • DS18B20 – Temperature sensor
  • MPU6050 – Motion & fall detection
  • HC-05 – Wireless communication

Image Image Image Image Image


Testing Summary

Sensor Accuracy Validation
ECG ~98% Compared to clinical ECG monitor
SpO₂ & HR ~97% Matched standard oximeter
Temperature ±0.2°C Compared to digital thermometer
Motion ~95% Fall detection tested manually
Wireless Stable 10–20m range, ~200ms latency

Image Image Image


Future Work

Image


Conclusion

This system provides a practical, low-cost alternative to hospital-grade monitors. It is portable, multi-functional, and tested successfully on a real patient — bridging the gap between wearable tech and accessible healthcare.

Image


Image


About

This system measures heart rate, temperature, and SpO2 levels using real-time sensors. Includes fall detection via MPU sensor—ideal for elderly or patient care. Health data is shown on a live dashboard, enabling remote monitoring, early alerts, and smart health management.

Topics

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages