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27 - 30 October 2020

Control of upper limb prostheses

Congress type icon Symposium | Control , Upper extremity

Control of upper limb prostheses


Ivan Vujaklija

Imperal College London


Prof. Dr. med. Frank Braatz

UMG , University Medical Center Goettingen / PFH, Private University of Applied Sciences

ZHT (Zentrum f. Healthcare Technology)


Fri, 2018/05/18 14:30 - 15:45 export in calendar


CCO, Room 3

Title Lecture Info Speaker

Congress Lecture

New Generation of Clinical Bionic Limbs - Overview

Abstract: Modern prosthetic hardware is highly versatile yet we are still not able to sufficiently interface it with the human body. However, we are now at the verge of a potential large-scale application of technologies that may present a radical paradigm shift in the replacement of lost limbs.

Vujaklija, Ivan

Congress Lecture

Model-based control of upper-limb myoelectric prostheses

Abstract: We have developed a subject-specific, computationally efficient model of the human neuromusculoskeletal systems. We have demonstrated that this can accurately simulate amputees’ phantom limb function and enable prosthesis control.

Sartori, Massimo

Congress Lecture

Effective artificial sensory feedback in prosthetics: An elusive goal

Abstract: Providing sensory feedback to a prosthesis user is an important goal, expected to improve the prosthesis utility. We demonstrate that the effectiveness of feedback depends on multiple factors, including the nature of the task, level of training as well as the characteristics of myoelectric control.

Dosen, Strahinja

Congress Lecture

Technical topic: Control of arm prostheses

Abstract: Recent research in human activity recognition (HAR) using inertial measurement units (IMUs) and research on the application of Deep Learning on sEMG signals indicates that using Deep Neural Networks is an improvement of more conventional methods employing modelling and human crafted features.

Oddsson, Magnus

Congress Lecture

Clinical topic: Control of arm prostheses

Abstract: This presentation explores user control of multi-articulating hands and the clinical approach and user learning. As multi-articulating hand technology has advanced so must the user control systems to aid adoption of the technology into users’ everyday lives.

Goodwin, Alison

Lecture Scientific/Practical

Factor analysis of upper limb prosthetic acceptance from retrospective prosthetic clinician survey

Abstract: Earlier surveys by the author have found that amp. level, functional advantage, comfort tolerance, therapy, and relationship with prosthetist were the highest predictors of acceptance. This retrospective survey was created to validate levels of acceptance and contributing factors among prosthetists.

Lock, Blair