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A robotic and virtual testing platform highlighting the promise of soft wearable actuators for wrist tremor suppression

  • Alona Shagan Shomron
  • , Christina Chase-Markopoulou
  • , Johannes R. Walter
  • , Johanna Sellhorn-Timm
  • , Yitian Shao
  • , Tobias Nadler
  • , Audrey Benson
  • , Isabell Wochner
  • , Ellen H. Rumley
  • , Isabel Wurster
  • , Philipp Klocke
  • , Daniel Weiss
  • , Syn Schmitt
  • , Christoph Keplinger*
  • , Daniel F.B. Haeufle*
  • *Corresponding author for this work
  • Max Planck Institute for Intelligent Systems
  • University of Stuttgart
  • University of Tübingen
  • Heidelberg University 
  • University of Colorado Boulder
  • Center for Bionic Intelligence (BITS)

Research output: Contribution to journalArticlepeer-review

Abstract

Nearly 80 million people in the world deal with medical conditions that cause involuntary periodic movements known as tremors. Wearable soft robotic devices offer a potential solution for actively suppressing these tremors. However, existing prototypes face limitations in actuation performance and complex testing procedures. We present a comprehensive approach for the rapid evaluation of emerging wearable tremor-suppression technologies. This method combines reproducing patient-recorded tremor episodes and measuring tremor suppression in a robotic platform, termed a “mechanical patient”, with validation of the achieved suppression performance of soft actuators via biomechanical modeling, thereby avoiding time-consuming clinical testing in the early stages of development. Using this approach, we highlight that an antagonistic pair of slim and lightweight electrohydraulic actuators can effectively suppress clinically relevant tremors between 2 and 8 Hz. The biomechanical model confirms that the pair of actuators generates adequate suppression forces for all tested tremors.

Original languageEnglish
Article number100719
JournalDevice
Volume3
Issue number6
DOIs
StatePublished - 20 Jun 2025
Externally publishedYes

Keywords

  • DTI-4: Validate
  • biomechanical simulation
  • mechanical patient
  • soft actuators
  • tremor suppression
  • wearable devices

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