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Speakers

Talks

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Interfaces for Robust Long-Term Prosthetic Control 

Levi Hargrove, Shirley Ryan AbilityLab

Abstarct - The field has largely converged on a familiar list of barriers to long-term myoelectric control—electrode shift, limb position effects, fatigue, and day-to-day donning variability. While these are real, I will argue they are not ....

Artificial sensory feedback in prosthetics: from lab to home

Strahinja Dosen, Aalborg University

Abstract Control methods for robotic prosthetic limbs have advanced considerably, enabling intuitive control of commercial prostheses through machine learning techniques. In contrast, the development of sensory...

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Real-World Applications: Constraints on Interface Design

Roopa Somayaji, Ottobock

Abstract - Technological developments have revolutionized many aspects of the prosthetic field. The most advanced knee joint was once a basic hinge mechanism that would articulate...

The Synergy of Clinical-Driven Design, Haptics, and Virtual Reality

Raphael Rätz, Bern University

Abstract - In stroke rehabilitation neuroplasticity is promoted through intensive, repetitive, and task specific training. Robotic rehabilitation devices and virtual reality... 

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Interfaces as a Means of Communication between Patients and Clinicians

Lorenzo Amato, Scuola Superiore Sant'Anna

Abstract - This talk presents Robot-mediated Physical Human-Human Interaction, a framework that enables therapists and patients to physically interact through interconnected robotic systems... 

From Clinical Needs to a Realistic Multichannel EMG Interface for Prosthetic Control

Michele Canepa, Istituto Italiano di Tecnologia

Abstract - The control of upper-limb prostheses is still limited by the difficulty of extracting robust and expressive motor intent from clinically viable sensing interfaces. In this talk, I will present a... 

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Biomarkers of Human-Robot Interaction in Robot-Assisted Rehabilitation

Eleonora Guanziroli, VIlla Beretta Rehabilitation Center

Abstract - In neurorehabilitation, human-robot interaction increasingly relies on physiological biomarkers to personalize therapy and monitor patient state during robot-assisted training. Heart rate variability (HRV)...

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