Power assist rehabilitation robot and motion intention estimation
ZA Adeola-Bello, NZ Azlan - International Journal of Robotics and …, 2022 - pubs2.ascee.org
This article attempts to review papers on power assist rehabilitation robots, human motion
intention, control laws, and estimation of power assist rehabilitation robots based on human …
intention, control laws, and estimation of power assist rehabilitation robots based on human …
Delaying feedback during pre-device training facilitates the retention of novel myoelectric skills: a laboratory and home-based study
Objective. The objective of this study was to assess the impact of delayed feedback training
on the retention of novel myoelectric skills, and to demonstrate the use of this training …
on the retention of novel myoelectric skills, and to demonstrate the use of this training …
Recalibration of myoelectric control with active learning
K Szymaniak, A Krasoulis, K Nazarpour - Frontiers in Neurorobotics, 2022 - frontiersin.org
Introduction Improving the robustness of myoelectric control to work over many months
without the need for recalibration could reduce prosthesis abandonment. Current …
without the need for recalibration could reduce prosthesis abandonment. Current …
A network-enabled myoelectric platform for prototyping research outside of the lab
We present a network-enabled myoelectric platform for performing research outside of the
laboratory environment. A low-cost, flexible, modular design based on common Internet of …
laboratory environment. A low-cost, flexible, modular design based on common Internet of …
Deep learning based upper-limb motion estimation using surface electromyography
T Bao - 2021 - etheses.whiterose.ac.uk
To advance human-machine interfaces (HMI) that can help disabled people reconstruct lost
functions of upper-limbs, machine learning (ML) techniques, particularly classification-based …
functions of upper-limbs, machine learning (ML) techniques, particularly classification-based …