AIMC Topic: Hip Joint

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Lower Body Kinematics Monitoring in Running Using Fabric-Based Wearable Sensors and Deep Convolutional Neural Networks.

Sensors (Basel, Switzerland) Dec 3, 2019
Continuous kinematic monitoring of runners is crucial to inform runners of inappropriate running habits. Motion capture systems are the gold standard for gait analysis, but they are spatially limited to laboratories. Recently, wearable sensors have g...
Biomechanical Phenomena Male Wearable Electronic Devices Equipment Design Algorithms Reproducibility of Results Young Adult Adult Hip Joint Ankle Joint Clothing Textiles Knee Joint Gait Motion Monitoring, Ambulatory Humans Neural Networks, Computer Machine Learning
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The Effect of Optic Flow Speed on Active Participation During Robot-Assisted Treadmill Walking in Healthy Adults.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Nov 25, 2019
This study aimed to investigate: 1) the effect of optic flow speed manipulation on active participation during robot-assisted treadmill walking (RATW), 2) the influence of the type of virtual environment, and 3) the level of motion sickness and enjoy...
Humans Female Aged Knee Joint Walking Motion Sickness Torque Hip Joint Biomechanical Phenomena Virtual Reality Male Muscle, Skeletal Middle Aged Robotics Surveys and Questionnaires Electromyography
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Fore-aft resistance applied at the center of mass using a novel robotic interface proportionately increases propulsive force generation in healthy nonimpaired individuals walking at a constant speed.

Journal of neuroengineering and rehabilitation Sep 6, 2019
BACKGROUND: Past studies have utilized external interfaces like resistive bands and motor-generated pulling systems to increase limb propulsion during walking on a motorized treadmill. However, assessing changes in limb propulsion against increasing ...
Lower Extremity Robotics Physical Exertion Walking Female Biomechanical Phenomena Male Middle Aged Feedback, Sensory Hip Joint Ankle Joint Walking Speed Physical Education and Training Humans
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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...
Healthy Volunteers Energy Metabolism Military Personnel Hip Joint Biotechnology Exoskeleton Device Adaptation, Physiological Follow-Up Studies Robotics Walking Gait Young Adult Male United States Humans
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Intelligent prediction of kinetic parameters during cutting manoeuvres.

Medical & biological engineering & computing Jun 15, 2019
Due to its capabilities in analysing injury risk, the ability to analyse an athlete's ground reaction force and joint moments is of high interest in sports biomechanics. However, using force plates for the kinetic measurements influences the athlete'...
Knee Joint Humans Models, Biological Hip Joint Neural Networks, Computer Athletes Ankle Joint Reproducibility of Results Analysis of Variance Movement Biomechanical Phenomena
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Fully automated radiological analysis of spinal disorders and deformities: a deep learning approach.

European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society Mar 12, 2019
PURPOSE: We present an automated method for extracting anatomical parameters from biplanar radiographs of the spine, which is able to deal with a wide scenario of conditions, including sagittal and coronal deformities, degenerative phenomena as well ...
Humans Neural Networks, Computer Deep Learning Models, Statistical Radiography Anatomic Landmarks Spine Hip Joint Spinal Curvatures
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Leaving hip rotation out of a conventional 3D gait model improves discrimination of pathological gait in cerebral palsy: A novel neural network analysis.

Gait & posture Feb 19, 2019
BACKGROUND: Complex clinical gait analysis results can be expressed as single number gait deviations by applying multivariate processing methods. The original Movement Deviation Profile (MDP) quantifies the deviation of abnormal gait using the most t...
Gait Analysis Movement Gait Disorders, Neurologic Child Rotation Hip Joint Cerebral Palsy Humans Neural Networks, Computer
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Robotic hip joint testing: Development and experimental protocols.

Medical engineering & physics Nov 9, 2018
The use of robotic systems combined with force sensing is emerging as the gold standard for in vitro biomechanical joint testing, due to the advantage of controlling all six degrees of freedom independently of one another. This paper describes a nove...
Mechanical Phenomena Humans Robotics Adult Female Rotation Biomechanical Phenomena Materials Testing Male Hip Joint Middle Aged
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Mechanical Design and Control Strategy for Hip Joint Power Assisting.

Journal of healthcare engineering Aug 15, 2018
The basic requirements for mechanical design and control strategy are adapting to human joint movements and building an interaction model between human and robot. In this paper, a 3-UPS parallel mechanism is adopted to realize that the instantaneous ...
Walking Muscle, Skeletal Models, Biological Humans Robotics Hip Joint Rotation Computer Simulation Equipment Design Stress, Mechanical Movement Biomechanical Phenomena Electromyography Exoskeleton Device
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Predicting net joint moments during a weightlifting exercise with a neural network model.

Journal of biomechanics Apr 25, 2018
The purpose of this study was to develop and train a Neural Network (NN) that uses barbell mass and motions to predict hip, knee, and ankle Net Joint Moments (NJM) during a weightlifting exercise. Seven weightlifters performed two cleans at 85% of th...
Ankle Joint Weight Lifting Neural Networks, Computer Biomechanical Phenomena Knee Joint Hip Joint Humans
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