HVS-3506. Paralysis patient Health monitoring and fall detection and SMS alerts and Voice announcement.
₹9,500.00
This project presents a health monitoring and assistive system designed for paralysis and physically challenged patients, integrating various sensors and microcontrollers to enhance patient care. The system utilizes an Arduino UNO microcontroller to continuously monitor vital health parameters such as ECG, body temperature, pulse, and movement through an MPU6050 gyroscope. If any parameter exceeds the predefined limit, an SMS alert is sent via a GSM module to notify caregivers.
Categories
ECE, EIE
Tags
Arduino uno, PIC Microcontroller
Description
Reviews
Description
Reviews
This project presents a health monitoring and assistive system designed for paralysis and physically challenged patients, integrating various sensors and microcontrollers to enhance patient care. The system utilizes an Arduino UNO microcontroller to continuously monitor vital health parameters such as ECG, body temperature, pulse, and movement through an MPU6050 gyroscope. If any parameter exceeds the predefined limit, an SMS alert is sent via a GSM module to notify caregivers. Additionally, the system incorporates flex sensors and a voice module connected to a PIC microcontroller to provide communication assistance, allowing patients to convey their needs through gesture-based input. The LCD display provides real-time feedback on the patient's health, making the system user-friendly. This innovative combination of medical monitoring and assistive technology offers an accessible solution to improve the quality of life for physically impaired individuals.
The main objectives of the project are:
video:
- Sensor based patient health monitoring system.
- Monitoring physiological parameters such as HB, ECG and Body temperature.
- Flex sensor-based voice announcement of basic needs.
- GSM based SMS alerts.
- Fall detection and alerting system.
- Visible alerts using LCD display.
- Using Arduino UNO and PIC Microcontroller to achieve this task.
- Power supply.
- ARDUINO UNO.
- PIC Microcontroller.
- AD8232 ECG Sensor.
- Pulse Sensor.
- MPU6050.
- LM35 Temperature sensor.
- Four flex sensors.
- GSM.
- APR33A3 voice module.
- LCD display.
- Speaker.
- Arduino IDE for compiling and dumping code into the Microcontroller.
- Express SCH for Circuit design.
- Embedded C language.
video:












