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Jamming Enabled Variable Stiffness Wrist Exoskeleton for Tremor Suppression

Guohui Wang, Hailu Wang, Weinan Gao, Xudong Yang, Yifan Wang

2023IEEE Robotics and Automation Letters20 citationsDOI

Abstract

Parkinson's disease is a chronic disorder that affects the central nervous system of patients. It affects millions of aging populations around the world every year. Approximately 80% of Parkinson's disease patients suffer from tremors which significantly reduce their life quality. In this study, we present a variable stiffness wrist exoskeleton (VSW-Exo) that is lightweight (less than 300 g on the wrist) and can effectively suppress wrist tremors in all three degrees of freedom. The functioning material of the variable stiffness unit is a novel chain mail-like structured fabric whose stiffness can be pneumatically controlled over a wide range under the jamming transition. Bending and Torsion tests are performed to characterize the VSW-Exo's damping force and torque. To evaluate the VSW-Exo's performance on human bodies, we devise vibration experiments to evaluate the prototype's performance on tremor suppression. The testing results show that our VSW-Exo's tremor suppression efficiency can reach up from 64.11 <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\pm$</tex-math></inline-formula> 10.92% to 67.24 <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\pm$</tex-math></inline-formula> 6.74%. Compared to other tremor suppression devices, our VSW-Exo can provide enough damping forces and torques to suppress tremors in all 3 directions with high efficiency and low weight on the wrist.

Topics & Concepts

ExoskeletonStiffnessJammingWristComputer scienceTorquePowered exoskeletonPhysical medicine and rehabilitationSimulationEngineeringPhysicsStructural engineeringMedicineAnatomyThermodynamicsNeurological disorders and treatmentsNeuroscience and Neural EngineeringAdvanced Sensor and Energy Harvesting Materials
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