A scoping review of eye tracking metrics used to assess visuomotor behaviours of upper limb prosthesis users
Advanced upper limb prostheses aim to restore coordinated hand and arm function.
However, this objective can be difficult to quantify as coordinated movements require an …
However, this objective can be difficult to quantify as coordinated movements require an …
Recurrent convolutional neural networks as an approach to position-aware myoelectric prosthesis control
Objective: Persons with normal arm function can perform complex wrist and hand
movements over a wide range of limb positions. However, for those with transradial …
movements over a wide range of limb positions. However, for those with transradial …
Communicative capital: a key resource for human–machine shared agency and collaborative capacity
In this work, we present a perspective on the role machine intelligence can play in
supporting human abilities. In particular, we consider research in rehabilitation technologies …
supporting human abilities. In particular, we consider research in rehabilitation technologies …
Limb loading enhances skill transfer between augmented and physical reality tasks during limb loss rehabilitation
Background Virtual and augmented reality (AR) have become popular modalities for training
myoelectric prosthesis control with upper-limb amputees. While some systems have shown …
myoelectric prosthesis control with upper-limb amputees. While some systems have shown …
Estimating speed-accuracy trade-offs to evaluate and understand closed-loop prosthesis interfaces
P Mamidanna, JL Dideriksen… - Journal of Neural …, 2022 - iopscience.iop.org
Objective. Closed-loop prosthesis interfaces, which combine electromyography (EMG)-
based control with supplementary feedback, represent a promising direction for developing …
based control with supplementary feedback, represent a promising direction for developing …
A Case Series in Position-Aware Myoelectric Prosthesis Control Using Recurrent Convolutional Neural Network Classification with Transfer Learning
Position-aware myoelectric prosthesis controllers require long, data-intensive training
routines. Transfer Learning (TL) might reduce training burden. A TL model can be pre …
routines. Transfer Learning (TL) might reduce training burden. A TL model can be pre …
Restoring natural upper limb movement through a wrist prosthetic module for partial hand amputees
S Choi, W Cho, K Kim - Journal of NeuroEngineering and Rehabilitation, 2023 - Springer
Background Most partial hand amputees experience limited wrist movement. The limited
rotational wrist movement deteriorates natural upper limb system related to hand use and …
rotational wrist movement deteriorates natural upper limb system related to hand use and …
A multifaceted suite of metrics for comparative myoelectric prosthesis controller research
Upper limb robotic (myoelectric) prostheses are technologically advanced, but challenging
to use. In response, substantial research is being done to develop person-specific …
to use. In response, substantial research is being done to develop person-specific …
Wrist speed feedback improves elbow compensation and reaching accuracy for myoelectric transradial prosthesis users in hybrid virtual reaching task
EJ Earley, RE Johnson, JW Sensinger… - … of neuroengineering and …, 2023 - Springer
Background Myoelectric prostheses are a popular choice for restoring motor capability
following the loss of a limb, but they do not provide direct feedback to the user about the …
following the loss of a limb, but they do not provide direct feedback to the user about the …
Spatiotemporal coupling of hand and eye movements when using a myoelectric prosthetic hand
KY Cheng, CS Chapman… - … on Rehabilitation Robotics …, 2022 - ieeexplore.ieee.org
Upper limb prosthesis users have disruptions in hand-eye coordination, with increased
fixations towards the hand and less visual allocation for feedforward planning. The purpose …
fixations towards the hand and less visual allocation for feedforward planning. The purpose …