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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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