A review of robot-assisted lower-limb stroke therapy: unexplored paths and future directions in gait rehabilitation
B Hobbs, P Artemiadis - Frontiers in neurorobotics, 2020 - frontiersin.org
Stroke affects one out of every six people on Earth. Approximately 90% of stroke survivors
have some functional disability with mobility being a major impairment, which not only …
have some functional disability with mobility being a major impairment, which not only …
Hand synergies: Integration of robotics and neuroscience for understanding the control of biological and artificial hands
The term 'synergy'–from the Greek synergia–means 'working together'. The concept of
multiple elements working together towards a common goal has been extensively used in …
multiple elements working together towards a common goal has been extensively used in …
A subject-transfer framework based on single-trial EMG analysis using convolutional neural networks
In recent years, electromyography (EMG)-based practical myoelectric interfaces have been
developed to improve the quality of daily life for people with physical disabilities. With these …
developed to improve the quality of daily life for people with physical disabilities. With these …
LSTM recurrent neural network for hand gesture recognition using EMG signals
A Toro-Ossaba, J Jaramillo-Tigreros, JC Tejada… - Applied Sciences, 2022 - mdpi.com
Currently, research on gesture recognition systems has been on the rise due to the
capabilities these systems provide to the field of human–machine interaction, however …
capabilities these systems provide to the field of human–machine interaction, however …
Evaluation of EMG pattern recognition for upper limb prosthesis control: a case study in comparison with direct myoelectric control
Background Although electromyogram (EMG) pattern recognition (PR) for multifunctional
upper limb prosthesis control has been reported for decades, the clinical benefits have …
upper limb prosthesis control has been reported for decades, the clinical benefits have …
Movement intention decoding based on deep learning for multiuser myoelectric interfaces
KH Park, SW Lee - 2016 4th international winter conference on …, 2016 - ieeexplore.ieee.org
Recently, the development of practical myoelectric interfaces has resulted in the emergence
of wearable rehabilitation robots such as arm prosthetics. In this paper, we propose a novel …
of wearable rehabilitation robots such as arm prosthetics. In this paper, we propose a novel …
A structured overview of trends and technologies used in dynamic hand orthoses
RA Bos, CJW Haarman, T Stortelder, K Nizamis… - … of neuroengineering and …, 2016 - Springer
The development of dynamic hand orthoses is a fast-growing field of research and has
resulted in many different devices. A large and diverse solution space is formed by the …
resulted in many different devices. A large and diverse solution space is formed by the …
Simultaneously encoding movement and sEMG-based stiffness for robotic skill learning
Transferring human stiffness regulation strategies to robots enables them to effectively and
efficiently acquire adaptive impedance control policies to deal with uncertainties during the …
efficiently acquire adaptive impedance control policies to deal with uncertainties during the …
Non-invasive control interfaces for intention detection in active movement-assistive devices
J Lobo-Prat, PN Kooren, AHA Stienen… - … of neuroengineering and …, 2014 - Springer
Active movement-assistive devices aim to increase the quality of life for patients with
neuromusculoskeletal disorders. This technology requires interaction between the user and …
neuromusculoskeletal disorders. This technology requires interaction between the user and …
A human–robot co-manipulation approach based on human sensorimotor information
L Peternel, N Tsagarakis… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
This paper aims to improve the interaction and coordination between the human and the
robot in cooperative execution of complex, powerful, and dynamic tasks. We propose a …
robot in cooperative execution of complex, powerful, and dynamic tasks. We propose a …