Serious game training versus conventional training in machine learning controlled prosthetic hands: results on functional outcomes Morten B. Kristoffersen1, Andreas W. Franzke1, Alessio Murgia2, Corry K. van der Sluis1, Raoul M. Bongers2 1 University of Groningen, University Medical Center Groningen, Department of Rehabilitation Medicine, Groningen, The Netherlands, 2 University of Groningen, University Medical Center Groningen, Center for Human Movement Sciences, Groningen, The Netherlands, BACKGROUND User training is required to operate machine learning controlled hand prostheses. The goal of training is to make myoelectric activation patterns more distinct from each other and more repeatable. Conventional user training is based o...
Although prosthetic hand rejection rates remain high, evidence suggests that effective training play...
The aim of this study is to establish the effect of task-oriented video gaming on using a myoelectri...
The aim of this study was to determine whether virtual training improves grip force control in prost...
BACKGROUND: Upper limb prosthetics with multiple degrees of freedom (DoFs) are still mostly operated...
When someone loses their hand, they are often given a prosthetic hand to restore function. Most pros...
Using a serious game to find distinct electromyogram patterns M. B. Kristoffersen, A. Franzke, A. Mu...
Pattern-Recognition (PR) control of upper-limb prosthetics has shown inconsistent results outside la...
IntroductionControlling a myoelectric upper limb prosthesis is difficult, therefore training is requ...
Producing triggers to switch between modes of myoelectric prosthetic hands has proven to be difficul...
Please note there was a problem with the upload. The file is a pdf, but the file ending is missing. ...
User training of upper-limb myoelectric prostheses using a pattern-recognition based control scheme ...
Training movements for distinct electromyogram patterns using serious gaming Authors: M. B. Kristoff...
PURPOSE: The purpose of this study was to investigate if a serious game, Myobox, could be used to tr...
Virtual reality (VR) rehabilitation systems have been proposed to enable prosthetic hand users to pe...
Although prosthetic hand rejection rates remain high, evidence suggests that effective training play...
The aim of this study is to establish the effect of task-oriented video gaming on using a myoelectri...
The aim of this study was to determine whether virtual training improves grip force control in prost...
BACKGROUND: Upper limb prosthetics with multiple degrees of freedom (DoFs) are still mostly operated...
When someone loses their hand, they are often given a prosthetic hand to restore function. Most pros...
Using a serious game to find distinct electromyogram patterns M. B. Kristoffersen, A. Franzke, A. Mu...
Pattern-Recognition (PR) control of upper-limb prosthetics has shown inconsistent results outside la...
IntroductionControlling a myoelectric upper limb prosthesis is difficult, therefore training is requ...
Producing triggers to switch between modes of myoelectric prosthetic hands has proven to be difficul...
Please note there was a problem with the upload. The file is a pdf, but the file ending is missing. ...
User training of upper-limb myoelectric prostheses using a pattern-recognition based control scheme ...
Training movements for distinct electromyogram patterns using serious gaming Authors: M. B. Kristoff...
PURPOSE: The purpose of this study was to investigate if a serious game, Myobox, could be used to tr...
Virtual reality (VR) rehabilitation systems have been proposed to enable prosthetic hand users to pe...
Although prosthetic hand rejection rates remain high, evidence suggests that effective training play...
The aim of this study is to establish the effect of task-oriented video gaming on using a myoelectri...
The aim of this study was to determine whether virtual training improves grip force control in prost...