Evaluation of the FLEXotendon glove‑III through a human subject case study
Biomedical Engineering Letters, 2023 · DOI: https://doi.org/10.1007/s13534-023-00262-2 · Published: January 27, 2023
Simple Explanation
Cervical spinal cord injury (SCI) can significantly impair hand functionality by disrupting nerve signals from the brain to the upper extremity. Robotic assistive hand exoskeletons offer a potential technology to improve patient rehabilitation, but few studies quantitatively assess exoskeleton performance using standardized hand function tests and questionnaires. This paper evaluates the FLEXotendon Glove-III, a voice-controlled soft robotic hand exoskeleton, through a case study involving individuals with SCI, using hand function tests and questionnaires.
Key Findings
- 1Participants were able to complete both the JTHFT and TRIHFT and in some cases, showed improvement with the exoskeleton compared to without the exoskeleton.
- 2The addition of force sensors on the fingertips to detect excessive grasping forces adds another layer of safety for the user during device operation.
- 3The smartphone app was rebuilt to encompass all aspects of the user interface (calibration and voice control), removing the need for a desktop computer and moving the FLEXotendon Glove-III towards a fully portable system.
Research Summary
Practical Implications
Improved Safety
Integrated fingertip force sensors enhance user safety by detecting excessive grasping forces.
Increased Portability
Redesigned tendon tension sensors and smartphone app integration contribute to a more portable exoskeleton system.
Enhanced Usability
A quick connect system simplifies glove swapping, improving the efficiency and convenience of the exoskeleton.
Study Limitations
- 1The HCR silicone creates a low-friction interface between the finger and the object.
- 2The HCR silicone increases the distance between the fingertip and the object, sometimes pushing smaller objects out of a convenient pinching position.
- 3Current implementation of tendon tension sensing does not account for friction and backlash, which may affect the accuracy of tension measurement.