https://github.com/dihitha-n/smart_health_monitoring
This system monitors heart rate and temperature of patients using wearable sensors, sending alerts to guardians and doctors in case of abnormalities, ensuring timely intervention
https://github.com/dihitha-n/smart_health_monitoring
arduino embedded-c iot lcd-display mit-app-inventor nodemcu-esp8266 pulse-sensor temperature-sensor thingspeak
Last synced: 4 months ago
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This system monitors heart rate and temperature of patients using wearable sensors, sending alerts to guardians and doctors in case of abnormalities, ensuring timely intervention
- Host: GitHub
- URL: https://github.com/dihitha-n/smart_health_monitoring
- Owner: dihitha-n
- Created: 2024-12-24T19:48:24.000Z (4 months ago)
- Default Branch: main
- Last Pushed: 2024-12-24T19:57:25.000Z (4 months ago)
- Last Synced: 2024-12-24T20:26:34.779Z (4 months ago)
- Topics: arduino, embedded-c, iot, lcd-display, mit-app-inventor, nodemcu-esp8266, pulse-sensor, temperature-sensor, thingspeak
- Homepage:
- Size: 0 Bytes
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Smart_Health_Monitoring
## Project Overview
An IoT-based health monitoring system allows patients to continuously track their health parameters, such as heart rate, blood pressure, and body temperature, using internet-enabled devices like smartwatches or fitness trackers. These devices collect real-time data and transmit it to platforms like ThingSpeak for analysis.
The data collected is sent to healthcare providers, enabling remote monitoring and timely intervention when necessary. If any readings exceed predefined thresholds, alerts are sent to both the patient and healthcare provider, ensuring quick action in case of health emergencies.
ThingSpeak also integrates with wearable devices to track physical activity, providing insights into overall health. Its visualization tools allow healthcare professionals to monitor trends, making it easier to provide personalized treatment and recommendations for improving health outcomes.
## Hardware Requirements
- NodeMCU ESP8266
- Pulse Sensor
- Temperature Sensor
- Arduino
- LCD Display
## Software Requirements
- Arduino Compiler
- Language : Embedded C
- Cloud : ThingSpeak
- MIT App Inventor
**For more information, you can refer to the attached documentation, which provides detailed insights into the IoT-based health monitoring system, its components, functionality, and how to use it effectively for real-time health tracking and analysis.
**