AIMC Topic: Healthy Volunteers
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Accelerating T mapping of the brain by integrating deep learning priors with low-rank and sparse modeling.
Magnetic resonance in medicine
Sep 29, 2020
PURPOSE: To accelerate T mapping with highly sparse sampling by integrating deep learning image priors with low-rank and sparse modeling.
Exploring augmented grasping capabilities in a multi-synergistic soft bionic hand.
Journal of neuroengineering and rehabilitation
Aug 25, 2020
BACKGROUND: State-of-the-art bionic hands incorporate hi-tech devices which try to overcome limitations of conventional single grip systems. Unfortunately, their complexity often limits mechanical robustness and intuitive prosthesis control. Recently...
Passive, yet not inactive: robotic exoskeleton walking increases cortical activation dependent on task.
Journal of neuroengineering and rehabilitation
Aug 10, 2020
BACKGROUND: Experimental designs using surrogate gait-like movements, such as in functional magnetic resonance imaging (MRI), cannot fully capture the cortical activation associated with overground gait. Overground gait in a robotic exoskeleton may b...
Robotic tests for position sense and movement discrimination in the upper limb reveal that they each are highly reproducible but not correlated in healthy individuals.
Journal of neuroengineering and rehabilitation
Jul 25, 2020
BACKGROUND: Robotic technologies for neurological assessment provide sensitive, objective measures of behavioural impairments associated with injuries or disease such as stroke. Previous robotic tasks to assess proprioception typically involve single...
Corneal Topography Raw Data Classification Using a Convolutional Neural Network.
American journal of ophthalmology
Jun 10, 2020
PURPOSE: We investigated the efficiency of a convolutional neural network applied to corneal topography raw data to classify examinations of 3 categories: normal, keratoconus (KC), and history of refractive surgery (RS).
EEG classification across sessions and across subjects through transfer learning in motor imagery-based brain-machine interface system.
Medical & biological engineering & computing
May 11, 2020
Transfer learning enables the adaption of models to handle mismatches of distributions across sessions or across subjects. In this paper, we proposed a new transfer learning algorithm to classify motor imagery EEG data. By analyzing the power spectru...
A computer vision approach for classifying isometric grip force exertion levels.
Ergonomics
Apr 10, 2020
Exposure to high and/or repetitive force exertions can lead to musculoskeletal injuries. However, measuring worker force exertion levels is challenging, and existing techniques can be intrusive, interfere with human-machine interface, and/or limited ...
Achieving affective human-virtual agent communication by enabling virtual agents to imitate positive expressions.
Scientific reports
Apr 6, 2020
Affective communication, communicating with emotion, during face-to-face communication is critical for social interaction. Advances in artificial intelligence have made it essential to develop affective human-virtual agent communication. A person's b...
A biarticular passive exosuit to support balance control can reduce metabolic cost of walking.
Bioinspiration & biomimetics
Mar 20, 2020
Nowadays, the focus on the development of assistive devices just for people with mobility disorders has shifted towards enhancing physical abilities of able-bodied humans. As a result, the interest in the design of cheap and soft wearable exoskeleton...
Semantic and structural image segmentation for prosthetic vision.
PloS one
Jan 29, 2020
Prosthetic vision is being applied to partially recover the retinal stimulation of visually impaired people. However, the phosphenic images produced by the implants have very limited information bandwidth due to the poor resolution and lack of color ...
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