GloveXcel: Smart Rehabilitation at Home
Team
- E/21/006, Abeykoon A.M.U.I.B., e21006@eng.pdn.ac.lk
- E/21/007, Abeynayake A.G.C.D., e21007@eng.pdn.ac.lk
- E/21/124, Ekanayake E.M.D.A., e21124@eng.pdn.ac.lk
- E/21/410, THILAKARATHNE L.R.O.S., e21410@eng.pdn.ac.lk
Table of Contents
- Introduction
- Solution Architecture
- Hardware & Software Designs
- Testing
- Detailed Budget
- Conclusion
- Links
Introduction
The Real World Problem
Rehabilitation for conditions like stroke, arthritis, and post-surgery often comes with challenges such as:
- Limited Access to Therapy: Patients struggle with traveling to therapy centers, especially if they have mobility issues or live in remote areas.
- Lack of Real-Time Feedback: Home-based rehabilitation often lacks the instant feedback that helps ensure exercises are performed correctly.
- Inconsistent Tracking: It’s hard to measure and adjust therapy plans when progress isn’t tracked effectively.
The Solution
RehabGlove provides a wearable solution that uses motion sensors and real-time feedback to guide patients through rehabilitation exercises at home. Key features include:
- Motion Tracking: Accurate tracking of hand and finger movements using embedded sensors.
- Real-Time Feedback: Instant notifications through vibration motors when movements deviate from prescribed therapy.
- Remote Therapist Monitoring: Therapists can monitor progress and adjust therapy via a mobile app.
- Self-Guided Mode: Patients can follow pre-programmed exercises and upload progress data for later review by their therapists.
Impact
RehabGlove empowers patients to carry out rehabilitation exercises effectively at home while ensuring real-time feedback and progress tracking. It reduces the need for frequent clinic visits, making rehabilitation more accessible and efficient.
Solution Architecture
High-Level Diagram
[Insert Diagram of the Solution Architecture]
The system consists of several components working in sync:
- Sensors: Potentiometers and accelerometers to track finger movements.
- Microcontroller: An ESP32 to process data and communicate with the mobile app.
- Feedback Mechanism: Vibration motors to provide real-time corrections to the patient.
Hardware and Software Designs
Hardware Components
- Sensor Array: Potentiometers, strain gauges, and accelerometers to measure joint movements.
- Control Unit: ESP32 microcontroller for data processing and communication.
- Feedback System: Vibration motors for haptic feedback to the patient.
Software
- Mobile App: Displays 3D hand models, tracks progress, and allows remote therapist adjustments.
- Cloud Storage: Secure cloud storage for session data and progress tracking.
Testing
Hardware Testing
- Prototype testing for sensor accuracy, feedback response, and overall glove comfort.
- Real-world testing with patients to assess the effectiveness of the real-time feedback.
Software Testing
- Testing of mobile app functionality, including progress tracking and remote therapist monitoring.
- Data synchronization between mobile app and cloud.
Detailed Budget
| Item | Quantity | Unit Cost | Total |
|---|---|---|---|
| Potentiometers | 4 | 500 LKR | 2000 LKR |
| Strain Gauges | 4 | 400 LKR | 1600 LKR |
| ESP32 Microcontroller | 1 | 1500 LKR | 1500 LKR |
| Vibration Motors | 4 | 500 LKR | 2000 LKR |
| Rechargeable Batteries | 2 | 600 LKR | 1200 LKR |
| Development & Testing | - | - | 5000 LKR |
| Total Cost | 14,300 LKR |
Conclusion
The RehabGlove system offers a convenient and effective solution for home-based rehabilitation. With real-time feedback, progress tracking, and remote therapist monitoring, it enhances recovery outcomes and makes rehabilitation more accessible. Future developments will expand the range of exercises and integrate additional tracking features for more comprehensive recovery.