AIMC Topic: Shoulder Joint

Clear Filters Showing 21 to 30 of 56 articles

Design and analysis of a compatible exoskeleton rehabilitation robot system based on upper limb movement mechanism.

Medical & biological engineering & computing Dec 12, 2023
Rehabilitation robots are used to promote structural and functional recovery of the nervous system with repetitive, task-oriented training and have been gradually applied to clinical rehabilitation training. This paper proposes an upper limb exoskele...
Movement Exoskeleton Device Upper Extremity Humans Robotics Shoulder Joint
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Prediction model of subacromial pain syndrome in assembly workers using shoulder range of motion and muscle strength based on support vector machine.

Ergonomics Dec 11, 2023
Subacromial pain syndrome (SAPS) is the most common upper-extremity musculoskeletal problem among workers. In this study, a machine learning model was built to predict and classify the presence or absence of SAPS in assembly workers with shoulder joi...
Adult Male Middle Aged Female Young Adult Shoulder Joint Occupational Diseases Shoulder Impingement Syndrome Support Vector Machine Muscle Strength Range of Motion, Articular Humans Machine Learning
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Analysis of learning the bimanual control of (tele)operating joint space controlled robotic arms with 4 degrees of freedom using the two-timescales power law of learning.

Ergonomics Oct 25, 2023
Training costs for operators of robotic arms in forestry and construction are high. A systematic analysis of skill development can help to make training more efficient. This research focuses on motor skill development by investigating the bimanual co...
Motor Skills Shoulder Joint Movement Arm Task Performance and Analysis Wrist Joint Adult Biomechanical Phenomena Male Robotics Elbow Joint Learning Female Young Adult Humans
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Deep learning to automatically classify very large sets of preoperative and postoperative shoulder arthroplasty radiographs.

Journal of shoulder and elbow surgery Oct 23, 2023
BACKGROUND: Joint arthroplasty registries usually lack information on medical imaging owing to the laborious process of observing and recording, as well as the lack of standard methods to transfer the imaging information to the registries, which can ...
Retrospective Studies Deep Learning Radiography Humans Artificial Intelligence Shoulder Joint Arthroplasty, Replacement, Shoulder
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Preliminary exploration of deep learning-assisted recognition of superior labrum anterior and posterior lesions in shoulder MR arthrography.

International orthopaedics Sep 20, 2023
PURPOSE: MR arthrography (MRA) is the most accurate method for preoperatively diagnosing superior labrum anterior-posterior (SLAP) lesions, but diagnostic results can vary considerably due to factors such as experience. In this study, deep learning w...
Retrospective Studies Reproducibility of Results Sensitivity and Specificity Deep Learning Magnetic Resonance Imaging Humans Arthroscopy Shoulder Shoulder Joint Arthrography Shoulder Injuries
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Deep learning for automated measurement of CSA related acromion morphological parameters on anteroposterior radiographs.

European journal of radiology Sep 9, 2023
BACKGROUND: The Critical Shoulder Angle Related Acromion Morphological Parameter (CSA- RAMP) is a valuable tool in the analyzing the etiology of the rotator cuff tears (RCTs). However, its clinical application has been limited by the time-consuming a...
Humans Acromion Deep Learning Radiography Rotator Cuff Injuries Shoulder Shoulder Joint
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Glenoid segmentation from computed tomography scans based on a 2-stage deep learning model for glenoid bone loss evaluation.

Journal of shoulder and elbow surgery Jun 10, 2023
BACKGROUND: The best-fitting circle drawn by computed tomography (CT) reconstruction of the en face view of the glenoid bone to measure the bone defect is widely used in clinical application. However, there are still some limitations in practical app...
Joint Instability Shoulder Dislocation Imaging, Three-Dimensional Shoulder Joint Retrospective Studies Humans Tomography, X-Ray Computed Deep Learning
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Deep learning algorithm for predicting subacromial motion trajectory: Dynamic shoulder ultrasound analysis.

Ultrasonics May 30, 2023
Subacromial motion metrics can be extracted from dynamic shoulder ultrasonography, which is useful for identifying abnormal motion patterns in painful shoulders. However, frame-by-frame manual labeling of anatomical landmarks in ultrasound images is ...
Deep Learning Ultrasonography Shoulder Humans Shoulder Joint Shoulder Impingement Syndrome
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Combination Use of Compressed Sensing and Deep Learning for Shoulder Magnetic Resonance Imaging With Various Sequences.

Journal of computer assisted tomography Mar 9, 2023
OBJECTIVE: For compressed sensing (CS) to become widely used in routine magnetic resonance imaging (MRI), it is essential to improve image quality. This study aimed to evaluate the usefulness of combining CS and deep learning-based reconstruction (DL...
Shoulder Joint Humans Deep Learning Retrospective Studies Magnetic Resonance Imaging Shoulder
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Glenohumeral joint trajectory tracking for improving the shoulder compliance of the upper limb rehabilitation robot.

Medical engineering & physics Feb 18, 2023
BACKGROUND: Exoskeletons have become an important tool to help patients with upper extremity motor dysfunction in rehabilitation training and life assistance. In the study of the upper limb exoskeleton, the human glenohumeral joint will produce accom...
Robotics Humans Biomechanical Phenomena Shoulder Joint Upper Extremity
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