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12 - 15 May 2020

Control of upper limb prostheses

Congress type icon Symposium | Upper extremity , Control

Control of upper limb prostheses

Chair:

Ivan Vujaklija

Imperal College London

Chair:

Prof. Dr. med. Frank Braatz

Private Hochschule Göttingen

ZHT (Zentrum f. Healthcare Technology)

Date/Time:

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

Place:

CCO, Room 3

Title Lecture Info Speaker
#1/6

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
#2/6

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
#3/6

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
#4/6

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
#5/6

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
#6/6

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