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HAILO: A Sensorised Hand Splint for the Exploration of Interface Forces
IEEE Transactions on Bio-Medical Engineering
|March 1, 2022
Summary
This study developed an instrumented splint to measure hand forces during everyday tasks. The 3D printed splint accurately captured forces, showing promise for improving arthritis interventions.
Area of Science:
- Biomedical Engineering
- Rehabilitation Technology
- Orthotics and Prosthetics
Background:
- Hand splinting is crucial for managing arthritis, but its biomechanical effects and interface loading are not well understood.
- Current methods for assessing splint effectiveness lack objective biomechanical data.
- There is a need for advanced tools to quantify the forces exerted by splints on the hand.
Purpose of the Study:
- To design and develop a custom 3D printed instrumented splint for measuring biomechanical effects and interface loading.
- To assess the load-sensing capabilities of the instrumented splint during everyday tasks.
- To compare the support provided by the 3D printed splint with a commercial splint.
Main Methods:
- A custom 3D printed thumb splint was developed with 16 multi-axial soft load-sensing nodes at the splint-skin interface.
- 12 healthy participants performed 6 everyday tasks while wearing the instrumented splint.
- Interface forces were measured and compared between a relaxed hand position and active use states.
- Sensor activity across the splint surface was analyzed and compared to a commercial splint.
Main Results:
- The instrumented splint successfully measured interface forces between the splint and hand during various tasks.
- Sensor activity varied across the splint surface depending on the task, commonly concentrating at the base of the thumb.
- The 3D printed splint demonstrated comparable support levels to a commercial splint.
- The study successfully characterized the changing forces imparted by the splint surface on the hand.
Conclusions:
- The instrumented splint shows promise for objectively measuring biomechanical forces in hand splinting.
- This technology can enhance the understanding of splint behavior and optimize interventions for conditions like arthritis.
- Further research can leverage these findings to improve splint design and patient quality of life.

