AIMC Topic: Healthy Volunteers

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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, ...
Healthy Volunteers Neural Networks, Computer Pattern Recognition, Automated Female Calibration Adult Movement Male Transfer, Psychology Deep Learning Support Vector Machine Wrist Electromyography Artificial Limbs Electrodes Humans
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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...
Humans Neural Networks, Computer Female Knee Joint Male Healthy Volunteers Deep Learning Arthroscopy Imaging, Three-Dimensional Cartilage, Articular Image Processing, Computer-Assisted Ultrasonography, Interventional
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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...
Humans Machine Learning Algorithms Reproducibility of Results Young Adult Adult Biomechanical Phenomena Gait Male Support Vector Machine Running Walking Healthy Volunteers Foot Orthotic Devices
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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...
Neural Networks, Computer Algorithms Computer Simulation Female Reproducibility of Results Brain-Computer Interfaces Humans Wavelet Analysis Aged Spinal Cord Injuries Aged, 80 and over Middle Aged Communication Devices for People with Disabilities Young Adult Electroencephalography Locked-In Syndrome Adult Electrodes Sex Characteristics Male Healthy Volunteers
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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...
Brain-Computer Interfaces Patients Wheelchairs Locked-In Syndrome Algorithms Female Young Adult Adult Male Middle Aged Robotics Electroencephalography Amyotrophic Lateral Sclerosis Healthy Volunteers Humans Neural Networks, Computer
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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...
Electrooculography Self-Help Devices Rehabilitation Equipment Design Humans Signal Processing, Computer-Assisted Adult Algorithms Electrodes Male Healthy Volunteers Female Aging Brain-Computer Interfaces Reproducibility of Results Deep Learning Young Adult Eye Movements
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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...
Neural Networks, Computer Brain Female Adult Male Humans Magnetic Resonance Imaging Healthy Volunteers Middle Aged Deep Learning Time Factors Imaging, Three-Dimensional Image Processing, Computer-Assisted
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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...
Equipment Design Electromyography Activities of Daily Living Healthy Volunteers Biomechanical Phenomena Humans Fingers Movement Male Neural Networks, Computer Wearable Electronic Devices Female Hand Strength Young Adult Robotics Adult
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A Subject-Transfer Framework Based on Single-Trial EMG Analysis Using Convolutional Neural Networks.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Oct 11, 2019
In recent years, electromyography (EMG)-based practical myoelectric interfaces have been developed to improve the quality of daily life for people with physical disabilities. With these interfaces, it is very important to decode a user's movement int...
User-Computer Interface Amputees Computer Systems Databases, Factual Humans Intention Hand Female Neural Networks, Computer Healthy Volunteers Electromyography Reproducibility of Results Machine Learning Movement Benchmarking Adult Algorithms Male
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Adaptive Neural Sliding-Mode Controller for Alternative Control Strategies in Lower Limb Rehabilitation.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Oct 9, 2019
Research on control strategies for rehabilitation robots has gradually shifted from providing therapies with fixed, relatively stiff assistance to compelling alternatives with assistance or challenge strategies to maximize subject participation. Thes...
Locomotion Upper Extremity Adaptation, Physiological Rehabilitation Robotics Equipment Design Torque Healthy Volunteers Physical Fitness Algorithms Young Adult Humans Accidental Falls Neuronal Plasticity Lower Extremity
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