AIMC Topic: Movement

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Neuromuscular actuation of biohybrid motile bots.

Proceedings of the National Academy of Sciences of the United States of America Sep 16, 2019
The integration of muscle cells with soft robotics in recent years has led to the development of biohybrid machines capable of untethered locomotion. A major frontier that currently remains unexplored is neuronal actuation and control of such muscle-...
Embryonic Stem Cells Muscle, Skeletal Movement Robotics Flagella Animals Equipment Design Optogenetics Mice Myoblasts Motor Neurons Cell Line Collagen Coculture Techniques Muscle Contraction Hydrodynamics
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2D ultrasound imaging based intra-fraction respiratory motion tracking for abdominal radiation therapy using machine learning.

Physics in medicine and biology Sep 11, 2019
We have previously developed a robotic ultrasound imaging system for motion monitoring in abdominal radiation therapy. Owing to the slow speed of ultrasound image processing, our previous system could only track abdominal motions under breath-hold. T...
Humans Machine Learning Reproducibility of Results Healthy Volunteers Respiration Dose Fractionation, Radiation Movement Radiotherapy, Image-Guided Ultrasonography Image Processing, Computer-Assisted Abdomen Radiotherapy Planning, Computer-Assisted
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Multi optimized SVM classifiers for motor imagery left and right hand movement identification.

Australasian physical & engineering sciences in medicine Aug 30, 2019
EEG signal can be a good alternative for disabled persons who cannot perform actions or perform them improperly. Brain computer interface (BCI) is an attractive technology which permits control and interaction with a computer or a machine using EEG s...
Brain-Computer Interfaces Task Performance and Analysis Movement Imagery, Psychotherapy Motor Activity Support Vector Machine Humans Electroencephalography Signal Processing, Computer-Assisted Hand
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A Multi-Branch 3D Convolutional Neural Network for EEG-Based Motor Imagery Classification.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Aug 29, 2019
One of the challenges in motor imagery (MI) classification tasks is finding an easy-handled electroencephalogram (EEG) representation method which can preserve not only temporal features but also spatial ones. To fully utilize the features on various...
Algorithms Reproducibility of Results Electroencephalography Brain-Computer Interfaces Humans Movement Neural Networks, Computer Imagination Machine Learning
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A Multi-Mode Rehabilitation Robot With Magnetorheological Actuators Based on Human Motion Intention Estimation.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Aug 22, 2019
Lower extremity paralysis has become common in recent years, and robots have been developed to help patients recover from it. This paper presents such a robotic system that allows for two working modes, the robot-active mode and human-active mode. Th...
Robotics Electromyography Torque Intention Healthy Volunteers Rheology Magnetic Fields Movement Biomechanical Phenomena Male Exercise Lower Extremity Humans Young Adult Exoskeleton Device Self-Help Devices Rehabilitation Joint Prosthesis
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Feedback delays can enhance anticipatory synchronization in human-machine interaction.

PloS one Aug 22, 2019
Research investigating the dynamics of coupled physical systems has demonstrated that small feedback delays can allow a dynamic response system to anticipate chaotic behavior. This counterintuitive phenomenon, termed anticipatory synchronization, has...
Reaction Time Nonlinear Dynamics Stochastic Processes Male Impulsive Behavior Movement Humans Adolescent Anticipation, Psychological Artificial Intelligence Virtual Reality Feedback, Psychological Female Robotics Adult
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A Natural-language-based Visual Query Approach of Uncertain Human Trajectories.

IEEE transactions on visualization and computer graphics Aug 20, 2019
Visual querying is essential for interactively exploring massive trajectory data. However, the data uncertainty imposes profound challenges to fulfill advanced analytics requirements. On the one hand, many underlying data does not contain accurate ge...
Natural Language Processing Semantics Movement Computer Graphics Humans Uncertainty Algorithms Databases, Factual User-Computer Interface
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An automatic behavior recognition system classifies animal behaviors using movements and their temporal context.

Journal of neuroscience methods Aug 12, 2019
Animals can perform complex and purposeful behaviors by executing simpler movements in flexible sequences. It is particularly challenging to analyze behavior sequences when they are highly variable, as is the case in language production, certain type...
Neurosciences Pattern Recognition, Automated Behavior, Animal Movement Behavioral Research Animals Time Factors Diptera Machine Learning
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Clustering Neural Patterns in Kernel Reinforcement Learning Assists Fast Brain Control in Brain-Machine Interfaces.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Aug 9, 2019
Neuroprosthesis enables the brain control on the external devices purely using neural activity for paralyzed people. Supervised learning decoders recalibrate or re-fit the discrepancy between the desired target and decoder's output, where the correct...
Electrodes, Implanted Neural Prostheses Animals Cluster Analysis Attention Brain-Computer Interfaces Haplorhini Movement Reinforcement, Psychology Motor Cortex Machine Learning Algorithms Computer Simulation
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Towards On-Demand Virtual Physical Therapist: Machine Learning-Based Patient Action Understanding, Assessment and Task Recommendation.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Aug 8, 2019
In this paper, we propose a machine learning-based virtual physical therapist (PT) system to enable personalized remote training for patients with Parkinson's disease (PD). Three physical therapy tasks with multiple difficulty levels are selected to ...
Algorithms Precision Medicine Female Reproducibility of Results Humans Machine Learning Middle Aged User-Computer Interface Parkinson Disease Exercise Therapy Aged Aged, 80 and over Biomechanical Phenomena Male Physical Therapists Psychomotor Performance Automation Movement Physical Therapy Modalities
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