AIMC Topic: Arm
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Low-Cost Robotic Guide Based on a Motor Imagery Brain-Computer Interface for Arm Assisted Rehabilitation.
International journal of environmental research and public health
Jan 21, 2020
Motor imagery has been suggested as an efficient alternative to improve the rehabilitation process of affected limbs. In this study, a low-cost robotic guide is implemented so that linear position can be controlled via the user's motor imagination of...
The Interaction Between Feedback Type and Learning in Routine Grasping With Myoelectric Prostheses.
IEEE transactions on haptics
Dec 23, 2019
While prosthetic fitting after upper-limb loss allows for restoration of motor functions, it deprives the amputee of tactile sensations that are essential for grasp control in able-bodied subjects. Therefore, it is commonly assumed that restoring the...
Turning the crank for machine learning: ease, at what expense?
The Lancet. Digital health
Sep 5, 2019
Reference Trajectory Reshaping Optimization and Control of Robotic Exoskeletons for Human-Robot Co-Manipulation.
IEEE transactions on cybernetics
Aug 30, 2019
For human-robot co-manipulation by robotic exoskeletons, the interaction forces provide a communication channel through which the human and the robot can coordinate their actions. In this article, an optimization approach for reshaping the physical i...
Robot-Assisted Arm Training in Chronic Stroke: Addition of Transition-to-Task Practice.
Neurorehabilitation and neural repair
Jul 22, 2019
. Robot-assisted therapy provides high-intensity arm rehabilitation that can significantly reduce stroke-related upper extremity (UE) deficits. Motor improvement has been shown at the joints trained, but generalization to real-world function has not ...
Physiological and kinematic effects of a soft exosuit on arm movements.
Journal of neuroengineering and rehabilitation
Feb 22, 2019
BACKGROUND: Soft wearable robots (exosuits), being lightweight, ergonomic and low power-demanding, are attractive for a variety of applications, ranging from strength augmentation in industrial scenarios, to medical assistance for people with motor i...
Rehab-Net: Deep Learning Framework for Arm Movement Classification Using Wearable Sensors for Stroke Rehabilitation.
IEEE transactions on bio-medical engineering
Feb 18, 2019
In this paper, we present a deep learning framework "Rehab-Net" for effectively classifying three upper limb movements of the human arm, involving extension, flexion, and rotation of the forearm, which, over the time, could provide a measure of rehab...
Vision-aided brain-machine interface training system for robotic arm control and clinical application on two patients with cervical spinal cord injury.
Biomedical engineering online
Feb 11, 2019
BACKGROUND: While spontaneous robotic arm control using motor imagery has been reported, most previous successful cases have used invasive approaches with advantages in spatial resolution. However, still many researchers continue to investigate metho...
Assistive Grasping Based on Laser-point Detection with Application to Wheelchair-mounted Robotic Arms.
Sensors (Basel, Switzerland)
Jan 14, 2019
As the aging of the population becomes more severe, wheelchair-mounted robotic arms (WMRAs) are gaining an increased amount of attention. Laser pointer interactions are an attractive method enabling humans to unambiguously point out objects and pick ...
Combination of high-frequency SSVEP-based BCI and computer vision for controlling a robotic arm.
Journal of neural engineering
Dec 3, 2018
OBJECTIVE: Recent attempts in developing brain-computer interface (BCI)-controlled robots have shown the potential of this area in the field of assistive robots. However, implementing the process of picking and placing objects using a BCI-controlled ...
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