A rigid seat pan is enhanced with multiple force sensors arranged in a full bridge configuration, providing real-time measurements of pressure distribution and center of pressure. These sensors, along with optional load cells and additional context-aware modules such as accelerometers, GPS, and microphones, continuously feed data to a microcontroller. The analog signals are conditioned, digitized, and wirelessly transmitted to a smart device, where machine learning algorithms like decision trees, KNN, and SVM interpret various pressure relief maneuvers and distinguish active from passive sitting behaviors. A smartphone application delivers immediate visual and auditory feedback, guiding pressure relief exercises while synchronizing with a cloud platform for further analysis and remote monitoring.
Description
The technology stands apart through its comprehensive integration of advanced hardware and multi-platform software that unifies real-time monitoring, sophisticated data processing, and telehealth connectivity. Its use of context-aware sensors combined with intelligent algorithm-based coaching provides tailored posture analysis and dynamic feedback. This holistic approach not only optimizes comfort and safety for wheelchair users but also offers healthcare providers a powerful tool for remote patient management, ensuring precise tracking and customized intervention protocols.
Applications
- Pressure ulcer prevention
- Real-time seating feedback
- Remote healthcare monitoring
- Wheelchair posture coaching
- Telehealth integration platform
Advantages
- Prevents pressure ulcers by monitoring pressure distribution and promoting regular pressure relief maneuvers.
- Provides real-time feedback and coaching to encourage correct sitting and propulsion techniques.
- Integrates advanced sensors and machine learning for accurate, context-aware posture and movement analysis.
- Offers customizable settings and telehealth integration for personalized healthcare provider oversight.
- Enhances long-term user health management through detailed data visualization and comprehensive reporting.
IP Status
https://patents.google.com/patent/WO2020014430A1
