AIMC Topic: Healthy Volunteers

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Explaining the unique nature of individual gait patterns with deep learning.

Scientific reports Feb 20, 2019
Machine learning (ML) techniques such as (deep) artificial neural networks (DNN) are solving very successfully a plethora of tasks and provide new predictive models for complex physical, chemical, biological and social systems. However, in most cases...
Female Young Adult Adult Biomechanical Phenomena Humans Male Deep Learning Gait Healthy Volunteers
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Noninvasive prediction of Blood Lactate through a machine learning-based approach.

Scientific reports Feb 18, 2019
We hypothesized that blood lactate concentration([Lac]) is a function of cardiopulmonary variables, exercise intensity and some anthropometric elements during aerobic exercise. This investigation aimed to establish a mathematical model to estimate [L...
Humans Machine Learning Algorithms Female Young Adult Healthy Volunteers Lactic Acid Respiratory Rate Oxygen Consumption Exercise Test Models, Biological Adult Heart Rate Male Middle Aged Exercise
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Interactive Compliance Control of a Wrist Rehabilitation Device (WRD) with Enhanced Training Safety.

Journal of healthcare engineering Feb 18, 2019
Interaction control plays an important role in rehabilitation devices to ensure training safety and efficacy. Compliance adaptation of interaction is vital for enabling robot movements to better suit the patient's requirements as human joint characte...
Biomedical Engineering Wrist Joint Compliance Equipment Design Wrist Healthy Volunteers Stroke Rehabilitation Humans Adult Biomechanical Phenomena Male Robotics
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Highly accelerated, model-free diffusion tensor MRI reconstruction using neural networks.

Medical physics Feb 14, 2019
PURPOSE: The purpose of this study was to develop a neural network that accurately performs diffusion tensor imaging (DTI) reconstruction from highly accelerated scans.
Humans Neural Networks, Computer ROC Curve Algorithms Glioblastoma Retrospective Studies Healthy Volunteers Prospective Studies Female Diffusion Tensor Imaging Diffusion Magnetic Resonance Imaging Aged Male
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Machine learning algorithms for predicting scapular kinematics.

Medical engineering & physics Feb 4, 2019
The goal of this study was to develop and validate a non-invasive approach to estimate scapular kinematics in individual patients. We hypothesized that machine learning algorithms could be developed using motion capture data to accurately estimate dy...
Healthy Volunteers Mechanical Phenomena Movement Scapula Humans Biomechanical Phenomena Imaging, Three-Dimensional Fluoroscopy Machine Learning Adult
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Walking Imagery Evaluation in Brain Computer Interfaces via a Multi-View Multi-Level Deep Polynomial Network.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Jan 25, 2019
Brain-computer interfaces based on motor imagery (MI) have been widely used to support the rehabilitation of motor functions of the upper limbs rather than lower limbs. This is probably because it is more difficult to detect the brain activities of l...
Neural Networks, Computer Algorithms Brain Female Male Virtual Reality Support Vector Machine Young Adult Adult Humans Imagination Paralysis Electroencephalography Walking Healthy Volunteers Brain-Computer Interfaces
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Classification of gait patterns between patients with Parkinson's disease and healthy controls using phase space reconstruction (PSR), empirical mode decomposition (EMD) and neural networks.

Neural networks : the official journal of the International Neural Network Society Jan 6, 2019
Parkinson's disease (PD) is a common neurodegenerative disorder that affects human's quality of life, especially leading to locomotor deficits such as postural instability and gait disturbances. Gait signal is one of the best features to characterize...
Female Humans Aged Gait Male Neural Networks, Computer Healthy Volunteers Middle Aged Quality of Life Empirical Research Parkinson Disease
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Myoelectric control algorithm for robot-assisted therapy: a hardware-in-the-loop simulation study.

Biomedical engineering online Jan 3, 2019
BACKGROUND: A direct blow to the knee is one way to injure the anterior cruciate ligament (ACL), e.g., during a football or traffic accident. Robot-assisted therapy (RAT) rehabilitation, simulating regular walking, improves walking and balance abilit...
Calibration Movement Anterior Cruciate Ligament Injuries Robotics Equipment Design Signal Processing, Computer-Assisted Electromyography Knee Joint Electrodes Exercise Therapy Healthy Volunteers Adult Biomechanical Phenomena Male Humans Middle Aged Algorithms Computer Simulation Young Adult
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Swall-E: A robotic in-vitro simulation of human swallowing.

PloS one Dec 19, 2018
Swallowing is a complex physiological function that can be studied through medical imagery techniques such as videofluoroscopy (VFS), dynamic magnetic resonance imagery (MRI) and fiberoptic endoscopic evaluation of swallowing (FEES). VFS is the gold ...
Pharynx Male Humans User-Computer Interface Healthy Volunteers Tomography, X-Ray Computed Robotics Video Recording Young Adult Equipment Design Deglutition Adult
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Combination of high-frequency SSVEP-based BCI and computer vision for controlling a robotic arm.

Journal of neural engineering Dec 3, 2018
OBJECTIVE: Recent attempts in developing brain-computer interface (BCI)-controlled robots have shown the potential of this area in the field of assistive robots. However, implementing the process of picking and placing objects using a BCI-controlled ...
Electroencephalography Healthy Volunteers Arm Brain-Computer Interfaces Adult Biomechanical Phenomena Male Robotics Humans Evoked Potentials, Visual Algorithms Photic Stimulation Female Visual Prosthesis Young Adult Fixation, Ocular
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