AIMC Topic: Movement

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Development of a Novel Task-oriented Rehabilitation Program using a Bimanual Exoskeleton Robotic Hand.

Journal of visualized experiments : JoVE May 20, 2020
A robot-assisted hand is used for the rehabilitation of patients with impaired upper limb function, particularly for stroke patients with a loss of motor control. However, it is unclear how conventional occupational training strategies can be applied...
Stroke Rehabilitation Hand Movement Exoskeleton Device Female Adult Male Middle Aged Hand Strength Robotics Humans
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Real-Time Human Action Recognition with a Low-Cost RGB Camera and Mobile Robot Platform.

Sensors (Basel, Switzerland) May 19, 2020
Human action recognition is an important research area in the field of computer vision that can be applied in surveillance, assisted living, and robotic systems interacting with people. Although various approaches have been widely used, recent studie...
Humans Neural Networks, Computer Photography Movement Human Activities Algorithms Robotics Joints Skeleton
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Motion artifacts reduction in brain MRI by means of a deep residual network with densely connected multi-resolution blocks (DRN-DCMB).

Magnetic resonance imaging May 16, 2020
OBJECTIVE: Magnetic resonance imaging (MRI) acquisition is inherently sensitive to motion, and motion artifact reduction is essential for improving image quality in MRI.
Signal-To-Noise Ratio Movement Magnetic Resonance Imaging Humans Artifacts Image Enhancement Brain Deep Learning Contrast Media
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Real-Time Energy Efficient Hand Pose Estimation: A Case Study.

Sensors (Basel, Switzerland) May 16, 2020
The estimation of human hand pose has become the basis for many vital applications where the user depends mainly on the hand pose as a system input. Virtual reality (VR) headset, shadow dexterous hand and in-air signature verification are a few examp...
Movement Physical Phenomena Humans Neural Networks, Computer Algorithms Hand
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Motor improvement estimation and task adaptation for personalized robot-aided therapy: a feasibility study.

Biomedical engineering online May 14, 2020
BACKGROUND: In the past years, robotic systems have become increasingly popular in upper limb rehabilitation. Nevertheless, clinical studies have so far not been able to confirm superior efficacy of robotic therapy over conventional methods. The pers...
Feasibility Studies Pilot Projects Humans Movement Recovery of Function Precision Medicine Stroke Rehabilitation Robotics Biomechanical Phenomena
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A practical 3D-printed soft robotic prosthetic hand with multi-articulating capabilities.

PloS one May 14, 2020
Soft robotic hands with monolithic structure have shown great potential to be used as prostheses due to their advantages to yield light weight and compact designs as well as its ease of manufacture. However, existing soft prosthetic hands design were...
Thumb Fingers Robotics Male Torsion, Mechanical Humans Joints Amputees Hand Strength Movement Biomechanical Phenomena Artificial Limbs Printing, Three-Dimensional
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Exploiting upper-limb functional principal components for human-like motion generation of anthropomorphic robots.

Journal of neuroengineering and rehabilitation May 13, 2020
BACKGROUND: Human-likeliness of robot movements is a key component to enable a safe and effective human-robot interaction, since it contributes to increase acceptance and motion predictability of robots that have to closely interact with people, e.g....
Humans Motion Algorithms Movement Principal Component Analysis Upper Extremity Robotics
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Parkinson's Disease EMG Data Augmentation and Simulation with DCGANs and Style Transfer.

Sensors (Basel, Switzerland) May 3, 2020
This paper proposes two new data augmentation approaches based on Deep Convolutional Generative Adversarial Networks (DCGANs) and Style Transfer for augmenting Parkinson's Disease (PD) electromyography (EMG) signals. The experimental results indicate...
Tremor Essential Tremor Electromyography Movement Humans Neural Networks, Computer Parkinson Disease
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A multi-scale variational neural network for accelerating motion-compensated whole-heart 3D coronary MR angiography.

Magnetic resonance imaging Apr 27, 2020
PURPOSE: To enable fast reconstruction of undersampled motion-compensated whole-heart 3D coronary magnetic resonance angiography (CMRA) by learning a multi-scale variational neural network (MS-VNN) which allows the acquisition of high-quality 1.2 × 1...
Neural Networks, Computer Female Reproducibility of Results Movement Humans Respiration Magnetic Resonance Angiography Coronary Angiography Adult Heart Male Coronary Vessels Imaging, Three-Dimensional
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Fully Automated Leg Tracking in Freely Moving Insects using Feature Learning Leg Segmentation and Tracking (FLLIT).

Journal of visualized experiments : JoVE Apr 23, 2020
The Drosophila model has been invaluable for the study of neurological function and for understanding the molecular and cellular mechanisms that underlie neurodegeneration. While fly techniques for the manipulation and study of neuronal subsets have ...
Video Recording Automation Gait Analysis Movement Extremities Drosophila Machine Learning Animals
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