Hand exoskeleton systems, clinical rehabilitation practices, and future prospects

P Tran, S Jeong, KR Herrin… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Spinal cord injury (SCI) and stroke are pathologies that often result in the loss of/decrease in
hand functionality. Hand function is a critical component of everyday life and therefore, a …

Robhand: A hand exoskeleton with real-time emg-driven embedded control. quantifying hand gesture recognition delays for bilateral rehabilitation

A Cisnal, J Pérez-Turiel, JC Fraile, D Sierra… - IEEE …, 2021 - ieeexplore.ieee.org
Assisted bilateral rehabilitation has been proven to help patients improve their paretic limb
ability and promote motor recovery, especially in upper limbs, after suffering a …

Toward robust, adaptiveand reliable upper-limb motion estimation using machine learning and deep learning–A survey in myoelectric control

T Bao, SQ Xie, P Yang, P Zhou… - IEEE journal of …, 2022 - ieeexplore.ieee.org
To develop multi-functionalhuman-machine interfaces that can help disabled people
reconstruct lost functions of upper-limbs, machine learning (ML) and deep learning (DL) …

Exoskeletal devices for hand assistance and rehabilitation: A comprehensive analysis of state-of-the-art technologies

B Noronha, D Accoto - IEEE Transactions on Medical Robotics …, 2021 - ieeexplore.ieee.org
Robots are effective tools for aiding in the restoration of hand function through rehabilitation
programs or by providing in-task assistance. To date, a multitude of exoskeletal devices …

Wearable assistive robotics: A perspective on current challenges and future trends

U Martinez-Hernandez, B Metcalfe, T Assaf, L Jabban… - Sensors, 2021 - mdpi.com
Wearable assistive robotics is an emerging technology with the potential to assist humans
with sensorimotor impairments to perform daily activities. This assistance enables …

A supersensitive, multidimensional flexible strain gauge sensor based on Ag/PDMS for human activities monitoring

H Li, J Zhang, J Chen, Z Luo, J Zhang… - Scientific Reports, 2020 - nature.com
For more comprehensive monitoring human state of motion, it is necessary to sense
multidimensional stimulus information. In this paper, we reported a supersensitive flexible …

Myoelectric untethered robotic glove enhances hand function and performance on daily living tasks after stroke

A Yurkewich, IJ Kozak, A Ivanovic… - … of rehabilitation and …, 2020 - journals.sagepub.com
Introduction Wearable robots controlled using electromyography could motivate greater use
of the affected upper extremity after stroke and enable bimanual activities of daily living to be …

A hierarchical dynamic Bayesian learning network for EMG-based early prediction of voluntary movement intention

Y Chen, H Zhang, C Wang, KK Ang, SH Ng, H Jin… - Scientific Reports, 2023 - nature.com
Decoding human action intention prior to motion onset with surface electromyograms
(sEMG) is an emerging neuroengineering topic with interesting clinical applications such as …

A way of bionic control based on EI, EMG, and FMG signals

A Briko, V Kapravchuk, A Kobelev, A Hammoud… - Sensors, 2021 - mdpi.com
Creating highly functional prosthetic, orthotic, and rehabilitation devices is a socially relevant
scientific and engineering task. Currently, certain constraints hamper the development of …

Intention detection strategies for robotic upper-limb orthoses: a scoping review considering usability, daily life application, and user evaluation

J Gantenbein, J Dittli, JT Meyer, R Gassert… - Frontiers in …, 2022 - frontiersin.org
Wearable robotic upper limb orthoses (ULO) are promising tools to assist or enhance the
upper-limb function of their users. While the functionality of these devices has continuously …