AI-Powered Remote Patient Health Monitoring & Predictive Disease Alert System Using ESP8266 and Arduino

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AI-Powered Remote Patient Health Monitoring & Predictive Disease Alert System Using ESP32/ESP8266 + Sensors + n8n Automation + AI Agent + Telegram Voice Alerts + Google Sheets + ThingSpeak Cloud Dashboard
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AI-Powered Remote Patient Health Monitoring & Predictive Disease Alert System

ESP32 + IoT + AI Agent + n8n + Telegram Voice Alerts + Google Sheets + ThingSpeak

1. Project Overview

This project continuously monitors patient health parameters using IoT sensors connected to an ESP32 board. Data is uploaded to ThingSpeak Cloud, stored in Google Sheets, analyzed using AI, and critical alerts are sent through Telegram including voice notifications.

2. Features

  • Real-Time Health Monitoring
  • Heart Rate Monitoring
  • Blood Oxygen (SpO2) Monitoring
  • Body Temperature Monitoring
  • Cloud Dashboard
  • Google Sheets Data Logging
  • AI Disease Prediction
  • Telegram Notification Alerts
  • Voice Alerts
  • Remote Doctor Monitoring

3. Components List

Component Quantity
ESP32 Dev Board 1
MAX30102 Sensor 1
DHT11 Sensor 1
LM35 Sensor 1
OLED Display 1
Jumper Wires As Required
Breadboard 1

4. Circuit Connections

MAX30102 → ESP32

VIN  → 3.3V
GND  → GND
SDA  → GPIO21
SCL  → GPIO22

DHT11 → ESP32

VCC → 3.3V
GND → GND
DATA → GPIO4

LM35 → ESP32

VCC → 3.3V
GND → GND
OUT → GPIO34

5. System Architecture

Patient
   |
Sensors
   |
ESP32
   |
ThingSpeak Cloud
   |
+------------------------+
|                        |
Google Sheets         AI Agent
|                        |
Database            Risk Prediction
|                        |
+----------+-------------+
           |
     Telegram Alerts
           |
     Voice Notification

6. AI Prediction Logic

IF Temperature > 38°C
THEN Fever Risk

IF Heart Rate > 100
THEN Tachycardia

IF Heart Rate < 60
THEN Bradycardia

IF SpO2 < 92
THEN Respiratory Risk

IF SpO2 < 90 AND HR > 120
THEN Critical Alert

7. ESP32 Source Code

#include <WiFi.h>
#include <HTTPClient.h>

const char* ssid="YOUR_WIFI";
const char* password="YOUR_PASSWORD";

String apiKey="YOUR_THINGSPEAK_API_KEY";

void setup()
{
  Serial.begin(115200);

  WiFi.begin(ssid,password);

  while(WiFi.status()!=WL_CONNECTED)
  {
      delay(500);
      Serial.print(".");
  }
}

void loop()
{
   float hr=90;
   float spo2=98;
   float temp=36.8;

   HTTPClient http;

   String url=
   "http://api.thingspeak.com/update?api_key="+apiKey+
   "&field1="+String(hr)+
   "&field2="+String(spo2)+
   "&field3="+String(temp);

   http.begin(url);
   http.GET();
   http.end();

   delay(15000);
}

8. ThingSpeak Setup

  1. Create ThingSpeak Account
  2. Create New Channel
  3. Add Fields:
    • Heart Rate
    • SpO2
    • Temperature
    • Humidity
  4. Copy Write API Key
  5. Use API Key in ESP32 Code

9. Google Sheets Integration

function doPost(e)
{
 var sheet =
 SpreadsheetApp.getActiveSpreadsheet()
 .getSheetByName("Sheet1");

 var data =
 JSON.parse(e.postData.contents);

 sheet.appendRow([
   new Date(),
   data.hr,
   data.spo2,
   data.temp,
   data.status
 ]);

 return ContentService
 .createTextOutput("Success");
}

10. Telegram Bot Setup

  1. Open Telegram
  2. Search @BotFather
  3. Create New Bot
  4. Get Bot Token
  5. Get Chat ID
  6. Use Token in n8n Workflow

11. n8n Workflow

ThingSpeak Trigger
       |
       ▼
Webhook
       |
       ▼
AI Analysis
       |
       ▼
IF Condition
       |
   +---+---+
   |       |
Normal  Critical
   |       |
Sheets Telegram
 Update Alerts

12. Voice Notification Automation

ESP32 Data
     |
ThingSpeak
     |
n8n Workflow
     |
OpenAI / Gemini
     |
Generate Alert Text
     |
Google TTS
     |
MP3 Voice File
     |
Telegram Voice Message

13. Power Consumption Formula

Power = Voltage × Current

Battery Life =
Battery Capacity(mAh)
---------------------
Average Current(mA)

14. Future Enhancements

  • ECG Sensor Integration
  • Blood Pressure Monitoring
  • LSTM Disease Prediction
  • Doctor Mobile Application
  • AWS IoT Integration
  • Firebase Database
  • GPS Emergency Tracking
  • Hospital Dashboard

15. Deployment Guide

  1. Build Hardware
  2. Upload ESP32 Code
  3. Configure ThingSpeak
  4. Connect Google Sheets
  5. Configure n8n Workflow
  6. Create Telegram Bot
  7. Connect AI Agent
  8. Test Alerts
  9. Deploy System

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