AIMC Topic: Young Adult

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Quantitative measures with WREX usage.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
This paper presents the results of two surveys conducted with users of a functional upper extremity orthosis called the Wilmington Robotic EXoskeleton (WREX). The WREX is a passive anti-gravity arm orthosis that allows people with neuromuscular disab...

A learning-based agent for home neurorehabilitation.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
This paper presents the iterative development of an artificially intelligent system to promote home-based neurorehabilitation. Although proper, structured practice of rehabilitation exercises at home is the key to successful recovery of motor functio...

Repeatability of grasp recognition for robotic hand prosthesis control based on sEMG data.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Control methods based on sEMG obtained promising results for hand prosthetics. Control system robustness is still often inadequate and does not allow the amputees to perform a large number of movements useful for everyday life. Only few studies analy...

Megane Pro: Myo-electricity, visual and gaze tracking data acquisitions to improve hand prosthetics.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
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...

Towards free 3D end-point control for robotic-assisted human reaching using binocular eye tracking.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Eye-movements are the only directly observable behavioural signals that are highly correlated with actions at the task level, and proactive of body movements and thus reflect action intentions. Moreover, eye movements are preserved in many movement d...

Quantitative assessment of motor functions post-stroke: Responsiveness of upper-extremity robotic measures and its task dependence.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Technology aided measures offer a sensitive, accurate and time-efflcient approach for the assessment of sensorimotor function after neurological impairment compared to standard clinical assessments. This preliminary study investigated the relationshi...

Human-robot sensor interface for cardiac rehabilitation.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Cardiovascular disease is the leading cause of death in the world. A program of cardiac rehabilitation (CR) is related to physical activities or exercises to regain the optimal quality of life. CR relies on the necessity to evaluate, control and supe...

Comparative performance analysis of M-IMU/EMG and voice user interfaces for assistive robots.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
People with a high level of disability experience great difficulties to perform activities of daily living and resort to their residual motor functions in order to operate assistive devices. The commercially available interfaces used to control assis...

Robotic assessment of the contribution of motor commands to wrist position sense.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Assessing joint position sense for rehabilitation after neurological injury provides a prognostic factor in recovery and long-term functional outcomes. A common method for testing joint position sense involves the active replication of a joint config...

Inverse estimation of multiple muscle activations based on linear logistic regression.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
This study deals with a technology to estimate the muscle activity from the movement data using a statistical model. A linear regression (LR) model and artificial neural networks (ANN) have been known as statistical models for such use. Although ANN ...