AIMC Topic: Healthy Volunteers

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A Deep Learning Framework for Assessing Physical Rehabilitation Exercises.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Jan 13, 2020
Computer-aided assessment of physical rehabilitation entails evaluation of patient performance in completing prescribed rehabilitation exercises, based on processing movement data captured with a sensory system. Despite the essential role of rehabili...
Movement Rehabilitation Neural Networks, Computer Algorithms Computer Simulation Biomechanical Phenomena Deep Learning Treatment Outcome Exercise Therapy Healthy Volunteers Automation Normal Distribution Humans
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Constructing a Consciousness Meter Based on the Combination of Non-Linear Measurements and Genetic Algorithm-Based Support Vector Machine.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Jan 8, 2020
OBJECTIVE: Constructing a framework to evaluate consciousness is an important issue in neuroscience research and clinical practice. However, there is still no systematic framework for quantifying altered consciousness along the dimensions of both lev...
Reproducibility of Results Male Middle Aged Support Vector Machine Entropy Humans Electroencephalography Anesthesia, General Algorithms Genetics Healthy Volunteers Female Wakefulness Consciousness Disorders Nonlinear Dynamics Consciousness Monitors Consciousness Coma
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A Deep Transfer Learning Approach to Reducing the Effect of Electrode Shift in EMG Pattern Recognition-Based Control.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Dec 25, 2019
An important barrier to commercialization of pattern recognition myoelectric control of prostheses is the lack of robustness to confounding factors such as electrode shift, skin impedance variations, and learning effects. To overcome this challenge, ...
Wrist Electromyography Artificial Limbs Electrodes Healthy Volunteers Female Adult Male Deep Learning Support Vector Machine Pattern Recognition, Automated Calibration Movement Transfer, Psychology Humans Neural Networks, Computer
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Siam-U-Net: encoder-decoder siamese network for knee cartilage tracking in ultrasound images.

Medical image analysis Dec 23, 2019
The tracking of the knee femoral condyle cartilage during ultrasound-guided minimally invasive procedures is important to avoid damaging this structure during such interventions. In this study, we propose a new deep learning method to track, accurate...
Deep Learning Imaging, Three-Dimensional Image Processing, Computer-Assisted Ultrasonography, Interventional Knee Joint Healthy Volunteers Arthroscopy Cartilage, Articular Humans Neural Networks, Computer Female Male
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Accurate Ambulatory Gait Analysis in Walking and Running Using Machine Learning Models.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Dec 10, 2019
Wearable sensors have been proposed as alternatives to traditional laboratory equipment for low-cost and portable real-time gait analysis in unconstrained environments. However, the moderate accuracy of these systems currently limits their widespread...
Machine Learning Algorithms Reproducibility of Results Young Adult Adult Humans Running Healthy Volunteers Foot Orthotic Devices Biomechanical Phenomena Male Support Vector Machine Walking Gait
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Electroencephalogram based communication system for locked in state person using mentally spelled tasks with optimized network model.

Artificial intelligence in medicine Nov 19, 2019
Due to growth in population, Individual persons with disabilities are increasing daily. To overcome the disability especially in Locked in State (LIS) due to Spinal Cord Injury (SCI), we planned to design four states moving robot from four imagery ta...
Young Adult Spinal Cord Injuries Computer Simulation Humans Adult Communication Devices for People with Disabilities Electrodes Neural Networks, Computer Female Locked-In Syndrome Male Sex Characteristics Algorithms Reproducibility of Results Middle Aged Healthy Volunteers Aged Electroencephalography Brain-Computer Interfaces Aged, 80 and over Wavelet Analysis
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Optimized artificial neural network based performance analysis of wheelchair movement for ALS patients.

Artificial intelligence in medicine Nov 9, 2019
Individuals with neurodegenerative attacks loose the entire motor neuron movements. These conditions affect the individual actions like walking, speaking impairment and totally make the person in to locked in state (LIS). To overcome the miserable co...
Humans Neural Networks, Computer Algorithms Female Wheelchairs Locked-In Syndrome Electroencephalography Amyotrophic Lateral Sclerosis Healthy Volunteers Brain-Computer Interfaces Patients Young Adult Adult Male Middle Aged Robotics
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Signal identification system for developing rehabilitative device using deep learning algorithms.

Artificial intelligence in medicine Nov 8, 2019
Paralyzed patients were increasing day by day. Some of the neurodegenerative diseases like amyotrophic lateral sclerosis, Brainstem Leison, Stupor and Muscular dystrophy affect the muscle movements in the body. The affected persons were unable to mig...
Electrodes Healthy Volunteers Brain-Computer Interfaces Electrooculography Self-Help Devices Rehabilitation Aging Deep Learning Eye Movements Equipment Design Humans Signal Processing, Computer-Assisted Algorithms Female Reproducibility of Results Young Adult Adult Male
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High-resolution 3D MR Fingerprinting using parallel imaging and deep learning.

NeuroImage Nov 2, 2019
MR Fingerprinting (MRF) is a relatively new imaging framework capable of providing accurate and simultaneous quantification of multiple tissue properties for improved tissue characterization and disease diagnosis. While 2D MRF has been widely availab...
Healthy Volunteers Time Factors Imaging, Three-Dimensional Image Processing, Computer-Assisted Magnetic Resonance Imaging Humans Neural Networks, Computer Brain Female Adult Male Middle Aged Deep Learning
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Myoelectric Control of a Soft Hand Exoskeleton Using Kinematic Synergies.

IEEE transactions on biomedical circuits and systems Oct 28, 2019
Soft hand exoskeletons offer a lightweight, low-profile alternative to rigid rehabilitative robotic systems, enabling their use to restore activities of daily living (ADL) in those with hand paresis due to stroke or other conditions. The hand exoskel...
Robotics Equipment Design Electromyography Activities of Daily Living Adult Humans Healthy Volunteers Biomechanical Phenomena Neural Networks, Computer Fingers Male Female Movement Wearable Electronic Devices Young Adult Hand Strength
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