Advanced Smart Health Monitoring System

Project Overview

This system collects and processes health-related sensor data, making it accessible via IoT platforms. It helps doctors, caregivers, and users track critical health parameters remotely.

Key Features

IoT-Based Monitoring

Sends real-time health data to an online dashboard (Blynk, Firebase, or another cloud service).

Allows remote access for healthcare professionals.

? Vital Sign Measurements

Heart Rate & SpO2: Using a MAX30100 or MAX30102 sensor.

Body Temperature: Captured using a DS18B20 or LM35 sensor.

Blood Pressure: Integrated with a digital BP monitor module.

ECG Readings: If included, it would use an AD8232 module.

Real-Time Data Visualization

Data is displayed in an IoT dashboard (possibly ThingSpeak, Blynk, or Firebase).

Alerts are triggered if vitals go out of normal range.

️ Alert System

Sends SMS or email alerts in case of abnormalities.

Uses buzzer or LED indicators for local alerts.

Low Power & Portability

Runs on a Li-ion/LiPo battery with an energy-efficient design.

Can be worn or placed near patients for easy use.

Hardware Components (Expected)

ESP32/ESP8266 → Handles IoT connectivity & data processing.

MAX30100/MAX30102 → Pulse oximeter & heart rate sensor.

LM35/DS18B20 → Temperature sensor.

AD8232 (if ECG is included) → Electrocardiogram module.

OLED Display (Optional) → To display real-time readings.

Software & Code (Based on GitHub Repo)

Uses Arduino IDE or PlatformIO for firmware development.

C/C++ for embedded programming with ESP32/ESP8266.

Integrates Blynk, Firebase, or MQTT for IoT communication.

Potential Applications

Remote Patient Monitoring – For elderly & critically ill patients.

Smart Wearable Devices – Could be developed into a smartwatch or smart band.

Hospital IoT Integration – For real-time patient monitoring in hospitals.