AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Task Performance and Analysis

Showing 211 to 220 of 235 articles

Clear Filters

Using machine learning to detect events in eye-tracking data.

Behavior research methods
Event detection is a challenging stage in eye movement data analysis. A major drawback of current event detection methods is that parameters have to be adjusted based on eye movement data quality. Here we show that a fully automated classification of...

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...

Preliminary results toward a naturally controlled multi-synergistic prosthetic hand.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Robotic hands embedding human motor control principles in their mechanical design are getting increasing interest thanks to their simplicity and robustness, combined with good performance. Another key aspect of these hands is that humans can use them...

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...

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 ...

Comparison of tongue interface with keyboard for control of an assistive robotic arm.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
This paper demonstrates how an assistive 6 DoF robotic arm with a gripper can be controlled manually using a tongue interface. The proposed method suggests that it possible for a user to manipulate the surroundings with his or her tongue using the in...

Robotic learning from demonstration of therapist's time-varying assistance to a patient in trajectory-following tasks.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
The number of people with physical disabilities and impaired motion control is increasing. Consequently, there is a growing demand for intelligent assistive robotic systems to cooperate with people with disability and help them carry out different ta...

Soft brain-machine interfaces for assistive robotics: A novel control approach.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Robotic systems offer the possibility of improving the life quality of people with severe motor disabilities, enhancing the individual's degree of independence and interaction with the external environment. In this direction, the operator's residual ...

Probabilistic vs linear blending approaches to shared control for wheelchair driving.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Some people with severe mobility impairments are unable to operate powered wheelchairs reliably and effectively, using commercially available interfaces. This has sparked a body of research into "smart wheelchairs", which assist users to drive safely...

A novel method for muscle fatigue assessment during robot-based tracking tasks.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
In this work we propose a novel method based on sEMG signals, easy and fast to perform, administered with a robotic device to maximize repeatability and objectivity. Muscle fatigue, which is frequently experienced by healthy subjects, can be a highly...