AIMC Topic: Healthy Volunteers

Clear Filters Showing 91 to 100 of 197 articles

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...
Movement Machine Learning Humans Algorithms Electromyography Adult Neural Networks, Computer Databases, Factual Benchmarking Male Female Amputees User-Computer Interface Reproducibility of Results Intention Computer Systems Healthy Volunteers Hand
View on PubMed DOI

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...
Humans Algorithms Young Adult Accidental Falls Healthy Volunteers Neuronal Plasticity Physical Fitness Upper Extremity Lower Extremity Locomotion Adaptation, Physiological Robotics Rehabilitation Equipment Design Torque
View on PubMed DOI

Gait can reveal sleep quality with machine learning models.

PloS one Sep 25, 2019
Sleep quality is an important health indicator, and the current measurements of sleep rely on questionnaires, polysomnography, etc., which are intrusive, expensive or time consuming. Therefore, a more nonintrusive, inexpensive and convenient method n...
Polysomnography Male Humans Health Status Indicators Gait Machine Learning Self Report Female Healthy Volunteers Young Adult Sleep Adult
View on PubMed DOI

EMG-based lumbosacral joint compression force prediction using a support vector machine.

Medical engineering & physics Sep 17, 2019
Electromyography-assisted optimization (EMGAO) approach is widely used to predict lumbar joint loads under various dynamic and static conditions. However, such approach uses numerous anthropometric, kinematic, kinetic, and electromyographic data in t...
Male Support Vector Machine Signal Processing, Computer-Assisted Lumbar Vertebrae Electromyography Kinetics Walking Healthy Volunteers Weight-Bearing Compressive Strength Humans Young Adult Biomechanical Phenomena
View on PubMed DOI

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 Ultrasonography Dose Fractionation, Radiation Movement Image Processing, Computer-Assisted Radiotherapy, Image-Guided Abdomen Radiotherapy Planning, Computer-Assisted Healthy Volunteers Respiration
View on PubMed DOI

A deep learning method for image-based subject-specific local SAR assessment.

Magnetic resonance in medicine Sep 4, 2019
PURPOSE: Local specific absorption rate (SAR) cannot be measured and is usually evaluated by offline numerical simulations using generic body models that of course will differ from the patient's anatomy. An additional safety margin is needed to inclu...
Reproducibility of Results Male Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Humans Neural Networks, Computer Algorithms Databases, Factual Computer Simulation Phantoms, Imaging Models, Statistical Prostatic Neoplasms Prostate Healthy Volunteers Signal-To-Noise Ratio
View on PubMed DOI

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...
Rehabilitation Joint Prosthesis Rheology Magnetic Fields Movement Exoskeleton Device Self-Help Devices Young Adult Biomechanical Phenomena Male Humans Exercise Robotics Lower Extremity Electromyography Torque Intention Healthy Volunteers
View on PubMed DOI

Fast and accurate reconstruction of human lung gas MRI with deep learning.

Magnetic resonance in medicine Jul 19, 2019
PURPOSE: To fast and accurately reconstruct human lung gas MRI from highly undersampled k-space using deep learning.
Lung Xenon Isotopes Deep Learning Imaging, Three-Dimensional Image Processing, Computer-Assisted Inflammation Humans Adult Algorithms Pulmonary Disease, Chronic Obstructive Prospective Studies Asthma Retrospective Studies Respiration Male Female Signal-To-Noise Ratio Magnetic Resonance Imaging Middle Aged Bronchiectasis Reproducibility of Results Solitary Pulmonary Nodule Fourier Analysis Aged Tuberculosis, Pulmonary Protons Young Adult Healthy Volunteers Smoking
View on PubMed DOI

Single Inertial Sensor-Based Neural Networks to Estimate COM-COP Inclination Angle During Walking.

Sensors (Basel, Switzerland) Jul 5, 2019
A biomechanical understanding of gait stability is needed to reduce falling risk. As a typical parameter, the COM-COP (center of mass-center of pressure) inclination angle (IA) could provide valuable insight into postural control and balance recovery...
Walking Gait Healthy Volunteers Accelerometry Male Monitoring, Physiologic Postural Balance Equipment Design Signal Processing, Computer-Assisted Humans Neural Networks, Computer Algorithms Adult
View on PubMed DOI

Metabolic cost adaptations during training with a soft exosuit assisting the hip joint.

Scientific reports Jul 5, 2019
Different adaptation rates have been reported in studies involving ankle exoskeletons designed to reduce the metabolic cost of their wearers. This work aimed to investigate energetic adaptations occurring over multiple training sessions, while walkin...
Humans Young Adult Male United States Follow-Up Studies Robotics Hip Joint Walking Gait Biotechnology Healthy Volunteers Exoskeleton Device Energy Metabolism Adaptation, Physiological Military Personnel
View on PubMed DOI
Popular Topics
Recent Journals