AIMC Topic: Hand
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Megane Pro: Myo-electricity, visual and gaze tracking data acquisitions to improve hand prosthetics.
IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Jul 1, 2017
During the past 60 years scientific research proposed many techniques to control robotic hand prostheses with surface electromyography (sEMG). Few of them have been implemented in commercial systems also due to limited robustness that may be improved...
Adaptive learning to speed-up control of prosthetic hands: A few things everybody should know.
IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Jul 1, 2017
Domain adaptation methods have been proposed to reduce the training efforts needed to control an upper-limb prosthesis by adapting well performing models from previous subjects to the new subject. These studies generally reported impressive reduction...
Robotic set-up to quantify hand-eye behavior in motor execution and learning of children with autism spectrum disorder.
IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Jul 1, 2017
Autism spectrum disorder (ASD) is a multifaceted neurodevelopmental disorder characterized by a persistence of social and communication impairment, and restricted and repetitive behaviors. However, motor disorders have also been described, but not ob...
Fully embedded myoelectric control for a wearable robotic hand orthosis.
IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Jul 1, 2017
To prevent learned non-use of the affected hand in chronic stroke survivors, rehabilitative training should be continued after discharge from the hospital. Robotic hand orthoses are a promising approach for home rehabilitation. When combined with int...
Validation of the efficiency of a robotic rehabilitation training system for recovery of severe plegie hand motor function after a stroke.
IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Jul 1, 2017
We have developed a rehabilitation training system called the Useful and Ultimate Rehabilitation System PARKO (UR System PARKO) to promote the recovery of motor function of the severe chronic plegic hand of stroke patients. This system was equipped w...
Clinical effectiveness of combined virtual reality and robot assisted fine hand motion rehabilitation in subacute stroke patients.
IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Jul 1, 2017
Robot-assisted therapy is regarded as an effective and reliable method for the delivery of highly repetitive rehabilitation training in restoring motor skills after a stroke. This study focuses on the rehabilitation of fine hand motion skills due to ...
A multichannel-near-infrared-spectroscopy-triggered robotic hand rehabilitation system for stroke patients.
IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Jul 1, 2017
There is a demand for a new neurorehabilitation modality with a brain-computer interface for stroke patients with insufficient or no remaining hand motor function. We previously developed a robotic hand rehabilitation system triggered by multichannel...
tDCS does not enhance the effects of robot-assisted gait training in patients with subacute stroke.
Restorative neurology and neuroscience
Jan 1, 2017
BACKGROUND: Transcranial direct current stimulation (tDCS) is a non-invasive brain stimulation technique, which can modulate cortical excitability and combined with rehabilitation therapies may improve motor recovery after stroke.
The potential of iRest in measuring the hand function performance of stroke patients.
Bio-medical materials and engineering
Jan 1, 2017
BACKGROUND: Clinical scales such as Fugl-Meyer Assessment (FMA) and Motor Assessment Scale (MAS) are widely used to evaluate stroke patient's motor performance. However, there are several limitations with these assessment scales such as subjectivity,...
Features extraction and multi-classification of sEMG using a GPU-Accelerated GA/MLP hybrid algorithm.
Journal of X-ray science and technology
Jan 1, 2017
BACKGROUND: Surface electromyography (sEMG) signal is the combined effect of superficial muscle EMG and neural electrical activity. In recent years, researchers did large amount of human-machine system studies by using the physiological signals as co...
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