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HEALTH MONITORING SYSTEM

Health monitoring using IoT (Internet of Things) technology enables real-time tracking of vital signs and health parameters, providing critical data to healthcare providers and individuals. This innovative approach integrates various sensors and devices, such as pulse rate sensors, blood pressure monitors, and glucose meters, with IoT platforms. These devices collect health data continuously and transmit it via Wi-Fi or cellular networks to cloud-based platforms. Here, data can be analyzed and monitored through dedicated applications or web interfaces. Patients can receive immediate feedback on their health status, and healthcare providers can access detailed records to make informed decisions. The integration of IoT in health monitoring offers several benefits: Real-Time Data: Continuous monitoring provides real-time health data, enabling early detection of potential health issues. Remote Monitoring: Patients can be monitored remotely, reducing the need for frequent hospital visits and allowing for better management of chronic conditions. Data Analysis: Advanced analytics can identify trends and anomalies, facilitating proactive healthcare management. Improved Outcomes: Early intervention based on continuous data can lead to better health outcomes and personalized treatment plans. IoT-based health monitoring systems empower patients with knowledge about their health, enhance the efficiency of healthcare delivery, and promote preventive care.

Description:

The IoT-based health monitoring system Project leverages an ESP32 microcontroller and a pulse rate sensor to provide real-time health monitoring capabilities. The system is designed to continuously measure and monitor the pulse rate and send the data to an IoT platform for remote access and analysis. Health Monitoring System Project Using IoT.

Components:

  1. ESP32 Development Board
  2. Pulse Rate Sensor (e.g., Pulse Sensor Amped)
  3. IoT Platform (e.g., ThingSpeak, Blynk, or a custom server)
  4. Jumper wires
  5. Breadboard (optional)
  6. Power supply (e.g., USB cable)

Connection Details:

Pulse Rate Sensor:

  1. Signal Pin (S):
    • Connect to Analog Pin 34 (ADC1_6) on the ESP32.
  2. VCC (Voltage):
    • Connect to 3.3V pin on the ESP32.
  3. GND (Ground):
    • Connect to GND on the ESP32.

// Install WebServer library from Library manager.

#include <WiFi.h>

#include <WebServer.h>

#define pulse 34          // Pin where the pulse sensor is connected (analog pin)

// Network credentials

const char* ssid = “your_SSID”;

const char* password = “your_PASSWORD”;

WebServer server(80);

void handleRoot() {

  // Reading sensors

  int pulse_value = analogRead(pulse);

    pulse_value = map(sensorValue1, 0, 1023, 40, 200);

  String html = “<html><head><title>Pulse Sensor Dashboard</title>”;

  html += “<style>”;

  html += “body { font-family: Arial, sans-serif; text-align: center; background-color: #f4f4f4; }”;

  html += “h1 { color: #333; }”;

  html += “.sensor { margin: 20px 0; }”;

  html += “p { font-size: 1.2em; }”;

  html += “.control-buttons a { display: inline-block; margin: 10px; padding: 10px 20px; text-decoration: none; color: white; background-color: #4CAF50; border-radius: 5px; }”;

  html += “</style></head><body>”;

  html += “<h1>Pulse Sensor Dashboard</h1>”;

  html += “<div class=\”sensor\”><p>Gas Level: ” + String(Pulse_value) + “</p></div>”;

  html += “</body></html>”;

  server.send(200, “text/html”, html);

}

void setup() {

  Serial.begin(115200);

  pinMode(pulse, INPUT);

  // Connect to Wi-Fi

  WiFi.begin(ssid, password);

  while (WiFi.status() != WL_CONNECTED) {

    delay(1000);

    Serial.println(“Connecting to WiFi…”);

  }

  Serial.println(“Connected to WiFi”);

  // Start the server

  server.on(“/”, handleRoot);

  server.begin();

  Serial.println(“HTTP server started”);

}

void loop() {

  server.handleClient();

}

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