AIMC Topic: Shoulder

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Shoulder kinematics plus contextual target information enable control of multiple distal joints of a simulated prosthetic arm and hand.

Journal of neuroengineering and rehabilitation Jan 6, 2021
BACKGROUND: Prosthetic restoration of reach and grasp function after a trans-humeral amputation requires control of multiple distal degrees of freedom in elbow, wrist and fingers. However, such a high level of amputation reduces the amount of availab...
Neural Networks, Computer Adult Biomechanical Phenomena Male Humans Artificial Limbs Arm Shoulder Movement Middle Aged Hand Strength Hand
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Deep learning method for segmentation of rotator cuff muscles on MR images.

Skeletal radiology Sep 16, 2020
OBJECTIVE: To develop and validate a deep convolutional neural network (CNN) method capable of (1) selecting a specific shoulder sagittal MR image (Y-view) and (2) automatically segmenting rotator cuff (RC) muscles on a Y-view. We hypothesized a CNN ...
Shoulder Rotator Cuff Neural Networks, Computer Deep Learning Humans
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Deep learning for the rapid automatic quantification and characterization of rotator cuff muscle degeneration from shoulder CT datasets.

European radiology Jul 22, 2020
OBJECTIVES: This study aimed at developing a convolutional neural network (CNN) able to automatically quantify and characterize the level of degeneration of rotator cuff (RC) muscles from shoulder CT images including muscle atrophy and fatty infiltra...
Rotator Cuff Injuries Retrospective Studies Humans Shoulder Rotator Cuff Deep Learning Muscular Atrophy Tomography, X-Ray Computed Adipose Tissue
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Shoulder training using shoulder assistive robot in a patient with shoulder elevation dysfunction: A case report.

Journal of orthopaedic science : official journal of the Japanese Orthopaedic Association Jan 31, 2020
Shoulder Shoulder Joint Upper Extremity Robotics Range of Motion, Articular Humans
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Basketball Activity Classification Based on Upper Body Kinematics and Dynamic Time Warping.

International journal of sports medicine Jan 14, 2020
Basketball activity classification can help document players' statistics, allow coaches, trainers and the medical team to quantitatively supervise players' physical exertion and optimize training strategy, and further help prevent potential injuries....
Humans Machine Learning Reproducibility of Results Young Adult Acceleration Shoulder Time and Motion Studies Movement Biomechanical Phenomena Male Hand Forearm Basketball
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Robot-Assisted Arm Training in Chronic Stroke: Addition of Transition-to-Task Practice.

Neurorehabilitation and neural repair Jul 22, 2019
. Robot-assisted therapy provides high-intensity arm rehabilitation that can significantly reduce stroke-related upper extremity (UE) deficits. Motor improvement has been shown at the joints trained, but generalization to real-world function has not ...
Arm Shoulder Paresis Stroke Rehabilitation Wrist Female Stroke Aged Humans Exercise Therapy Adult Prospective Studies Treatment Outcome Robotics Recovery of Function Elbow Male Middle Aged Single-Blind Method
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A Deep Neural Network-based method for estimation of 3D lifting motions.

Journal of biomechanics Dec 19, 2018
The aim of this study is developing and validating a Deep Neural Network (DNN) based method for 3D pose estimation during lifting. The proposed DNN based method addresses problems associated with marker-based motion capture systems like excessive pre...
Movement Lifting Middle Aged Deep Learning Shoulder Humans Biomechanical Phenomena Male
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Face-from-Depth for Head Pose Estimation on Depth Images.

IEEE transactions on pattern analysis and machine intelligence Dec 7, 2018
Depth cameras allow to set up reliable solutions for people monitoring and behavior understanding, especially when unstable or poor illumination conditions make unusable common RGB sensors. Therefore, we propose a complete framework for the estimatio...
Neural Networks, Computer Algorithms Databases, Factual Imaging, Three-Dimensional Posture Female Male Humans Head Shoulder Automated Facial Recognition Face Pattern Recognition, Automated
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Development of a shoulder-mounted robot for MRI-guided needle placement: phantom study.

International journal of computer assisted radiology and surgery Aug 11, 2018
PURPOSE: This paper presents new quantitative data on a signal-to-noise ratio (SNR) study, distortion study, and targeting accuracy phantom study for our patient-mounted robot (called Arthrobot). Arthrobot was developed as an MRI-guided needle placem...
Humans Magnetic Resonance Imaging Robotics Shoulder Arthrography Injections, Intra-Articular Phantoms, Imaging
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Shoulder physiotherapy exercise recognition: machine learning the inertial signals from a smartwatch.

Physiological measurement Jul 23, 2018
OBJECTIVE: Participation in a physical therapy program is considered one of the greatest predictors of successful conservative management of common shoulder disorders. However, adherence to these protocols is often poor and typically worse for unsupe...
Computers, Handheld Healthy Volunteers Shoulder Physical Therapy Modalities Male Middle Aged Support Vector Machine Patient Compliance Female Exercise Therapy Young Adult Humans Monitoring, Physiologic Adult Neural Networks, Computer Signal Processing, Computer-Assisted Machine Learning
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