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 …
The influence of functional electrical stimulation on hand motor recovery in stroke patients: a review
F Quandt, FC Hummel - Experimental & translational stroke medicine, 2014 - Springer
Neuromuscular stimulation has been used as one potential rehabilitative treatment option to
restore motor function and improve recovery in patients with paresis. Especially stroke …
restore motor function and improve recovery in patients with paresis. Especially stroke …
Continuous and simultaneous estimation of finger kinematics using inputs from an EMG-to-muscle activation model
Background Surface electromyography (EMG) signals are often used in many robot and
rehabilitation applications because these reflect motor intentions of users very well …
rehabilitation applications because these reflect motor intentions of users very well …
Myoelectric control systems for upper limb wearable robotic exoskeletons and exosuits—A systematic review
In recent years, myoelectric control systems have emerged for upper limb wearable robotic
exoskeletons to provide movement assistance and/or to restore motor functions in people …
exoskeletons to provide movement assistance and/or to restore motor functions in people …
sEMG-based continuous estimation of grasp movements by long-short term memory network
Controlling a robotic hand or arm by surface Electromyographic signals (sEMG) is an
important research direction. The present pattern-recognition-based control strategy can …
important research direction. The present pattern-recognition-based control strategy can …
Recent use of deep learning techniques in clinical applications based on gait: a survey
Gait analysis has been studied for a long time and applied to fields such as security, sport,
and medicine. In particular, clinical gait analysis has played a significant role in improving …
and medicine. In particular, clinical gait analysis has played a significant role in improving …
Effect of user practice on prosthetic finger control with an intuitive myoelectric decoder
Machine learning-based myoelectric control is regarded as an intuitive paradigm, because
of the map** it creates between muscle co-activation patterns and prosthesis movements …
of the map** it creates between muscle co-activation patterns and prosthesis movements …
A virtual reality muscle–computer interface for neurorehabilitation in chronic stroke: A pilot study
Severe impairment of limb movement after stroke can be challenging to address in the
chronic stage of stroke (eg, greater than 6 months post stroke). Recent evidence suggests …
chronic stage of stroke (eg, greater than 6 months post stroke). Recent evidence suggests …
Intention detection strategies for robotic upper-limb orthoses: a sco** review considering usability, daily life application, and user evaluation
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 …
upper-limb function of their users. While the functionality of these devices has continuously …
A novel and efficient feature extraction method for deep learning based continuous estimation
Simultaneous and proportional control (SPC) methods based on surface electromyogram
(sEMG) can provide a more intuitive and natural interaction in rehabilitation assistive robots …
(sEMG) can provide a more intuitive and natural interaction in rehabilitation assistive robots …