IoT-Based Physiotherapy Assistance System
Our project involves developing an integrated IoT-based system to assist in rehabilitation and physiotherapy processes for patients. The idea stemmed from the increasing shortage of physiotherapists relative to high patient volumes in healthcare systems worldwide. Long wait times for appointments can severely hinder recovery and progress.
System Components
- Walking Track: Adjustable walking track constructed from aluminum framing and rubber mats, ranging from 1-2 meters in length. Obstacles are positioned along the track, controlled by servo motors connected to a microcontroller. Obstacle heights range from 0-30cm.
- Sensors: An array of ultrasonic and optical infrared sensors precisely detect patient contact and collisions with obstacles during exercises. Signal data is transmitted to the microcontroller and RPi.
- Web Application: Built with React, it enables physiotherapists to easily input customized training programs for each patient. Parameters include exercise duration, walking pace, number of laps, and obstacle heights/positions tailored to the patient's needs and progress.
- Database: A cloud-based Firebase database securely stores exercise session data and analysis. MQTT protocol enables real-time data transmission from sensors to database. Historical data is available for progress monitoring.
- Electronics: Modular electronics design allows for scalability and customization. Components integrate via IoT protocols like MQTT and REST APIs.
Key Benefits
- Resourcefulness: Saves healthcare system time and resources
- Speed: Shortens patient waiting times and rehabilitation process
- Capacity: Ability to treat larger number of patients
- Monitoring: Continuous progress and performance tracking
System Design
Quantified Benefits
- Efficiency: Reduces average physiotherapist workload per patient by 50%
- Accessibility: Cuts patient waiting times for appointments by 25% on average
- Capacity: Increases patient capacity per physiotherapist by 20%