AIMC Topic: Hip Joint

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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 ...
Biomechanical Phenomena Male Middle Aged Lower Extremity Ankle Joint Humans Female Walking Speed Physical Education and Training Feedback, Sensory Robotics Physical Exertion Walking Hip Joint
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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...
Adaptation, Physiological Gait Healthy Volunteers Energy Metabolism Military Personnel Hip Joint United States Biotechnology Follow-Up Studies Exoskeleton Device Humans Robotics Young Adult Walking Male
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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'...
Humans Neural Networks, Computer Reproducibility of Results Biomechanical Phenomena Analysis of Variance Hip Joint Ankle Joint Movement Knee Joint Models, Biological Athletes
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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 ...
Spine Hip Joint Spinal Curvatures Humans Neural Networks, Computer Deep Learning Models, Statistical Radiography Anatomic Landmarks
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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 Disorders, Neurologic Hip Joint Cerebral Palsy Gait Analysis Humans Movement Neural Networks, Computer Child Rotation
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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...
Middle Aged Robotics Rotation Materials Testing Hip Joint Mechanical Phenomena Female Humans Adult Biomechanical Phenomena Male
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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 ...
Movement Computer Simulation Exoskeleton Device Biomechanical Phenomena Models, Biological Muscle, Skeletal Humans Rotation Robotics Equipment Design Stress, Mechanical Electromyography Hip Joint Walking
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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...
Humans Neural Networks, Computer Biomechanical Phenomena Knee Joint Hip Joint Ankle Joint Weight Lifting
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Supervised learning techniques and their ability to classify a change of direction task strategy using kinematic and kinetic features.

Journal of biomechanics Oct 31, 2017
This study examines the ability of commonly used supervised learning techniques to classify the execution of a maximum effort change of direction task into predefined movement pattern as well as the influence of fuzzy executions and the impact of sel...
Range of Motion, Articular Hip Joint Young Adult Ankle Joint Humans Adult Movement Sports Male Ankle Biomechanical Phenomena Bayes Theorem Support Vector Machine Models, Statistical Discriminant Analysis Decision Trees Rotation
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A preliminary examination of the diagnostic value of deep learning in hip osteoarthritis.

PloS one Jun 2, 2017
Hip Osteoarthritis (OA) is a common disease among the middle-aged and elderly people. Conventionally, hip OA is diagnosed by manually assessing X-ray images. This study took the hip joint as the object of observation and explored the diagnostic value...
Radiography Hip Joint Humans Osteoarthritis, Hip Neural Networks, Computer Image Processing, Computer-Assisted
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