AIMC Topic: Shoulder Joint

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Human arm joints reconstruction algorithm in rehabilitation therapies assisted by end-effector robotic devices.

Journal of neuroengineering and rehabilitation Feb 20, 2018
BACKGROUND: End-effector robots are commonly used in robot-assisted neuro-rehabilitation therapies for upper limbs where the patient's hand can be easily attached to a splint. Nevertheless, they are not able to estimate and control the kinematic conf...
Humans Algorithms Female Biomechanical Phenomena Range of Motion, Articular Shoulder Joint Upper Extremity Stroke Rehabilitation Male Robotics Elbow Joint Arm
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A randomized comparison between interscalene and combined infraclavicular-suprascapular blocks for arthroscopic shoulder surgery.

Canadian journal of anaesthesia = Journal canadien d'anesthesie Dec 19, 2017
BACKGROUND: This randomized trial aimed to evaluate combined infraclavicular-suprascapular blocks (ICB-SSBs) as a diaphragm-sparing alternative to interscalene blocks (ISBs) for arthroscopic shoulder surgery. We hypothesized that ICB-SSB would provid...
Pain, Postoperative Brachial Plexus Block Male Epinephrine Analgesics, Opioid Humans Middle Aged Levobupivacaine Morphine Female Shoulder Joint Arthroscopy Anesthetics, Local Aged Ultrasonography, Interventional Adult
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Effectiveness of robot-assisted training added to conventional rehabilitation in patients with humeral fracture early after surgical treatment: protocol of a randomised, controlled, multicentre trial.

Trials Dec 6, 2017
BACKGROUND: The incidence of proximal humeral fractures increases with age. The functional recovery of the upper arm after such fractures is slow, and results are often disappointing. Treatment is associated with long immobilisation periods. Evidence...
Clinical Protocols Radiotherapy, Computer-Assisted Shoulder Fractures Fracture Fixation Occupational Therapy Pain Measurement Disability Evaluation Single-Blind Method Shoulder Joint Motor Activity Physical Therapy Modalities Time Factors Range of Motion, Articular Adult Treatment Outcome Prospective Studies Germany Biomechanical Phenomena Recovery of Function Female Male Robotics Aged Middle Aged Humans Research Design
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Robotic quantification of upper extremity loss of independent joint control or flexion synergy in individuals with hemiparetic stroke: a review of paradigms addressing the effects of shoulder abduction loading.

Journal of neuroengineering and rehabilitation Oct 29, 2016
Unsupported or "against-gravity" reaching and hand opening movements are greatly impaired in individuals with hemiparetic stroke. The reduction in reaching excursion and hand opening is thought to be primarily limited by abnormal muscle co-activation...
Shoulder Joint Humans Paresis Robotics Upper Extremity Stroke Stroke Rehabilitation Shoulder
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Can shoulder joint reaction forces be estimated by neural networks?

Journal of biomechanics Nov 22, 2015
To facilitate the development of future shoulder endoprostheses, a long term load profile of the shoulder joint is desired. A musculoskeletal model using 3D kinematics and external forces as input can estimate the mechanical load on the glenohumeral ...
Electromyography Stress, Mechanical Shoulder Shoulder Joint Biomechanical Phenomena Male Imaging, Three-Dimensional Humans Muscle, Skeletal Neural Networks, Computer Computer Simulation Adult
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Shoulder complex linkage mechanism for humanlike musculoskeletal robot arms.

Bioinspiration & biomimetics Nov 5, 2015
The shoulder complex in the human body consists of the scapula, clavicle, humerus, and thorax and bears the load imposed by arm movements while at the same time realizing a wide range of motions. To mimic and exploit its role, several musculoskeletal...
Humans Computer Simulation Computer-Aided Design Muscle, Skeletal Models, Biological Biomimetics Arm Robotics Equipment Design Muscle Contraction Shoulder Joint Equipment Failure Analysis Movement
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Upper-limb kinematic reconstruction during stroke robot-aided therapy.

Medical & biological engineering & computing Apr 11, 2015
The paper proposes a novel method for an accurate and unobtrusive reconstruction of the upper-limb kinematics of stroke patients during robot-aided rehabilitation tasks with end-effector machines. The method is based on a robust analytic procedure fo...
Biomechanical Phenomena Male Middle Aged Robotics Humans Stroke Rehabilitation Elbow Joint Algorithms Stroke Female Arm Adult Shoulder Joint
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Cascade learning in multi-task encoder-decoder networks for concurrent bone segmentation and glenohumeral joint clinical assessment in shoulder CT scans.

Artificial intelligence in medicine Jul 1, 2025
Osteoarthritis is a degenerative condition that affects bones and cartilage, often leading to structural changes, including osteophyte formation, bone density loss, and the narrowing of joint spaces. Over time, this process may disrupt the glenohumer...
Humans Neural Networks, Computer Deep Learning Imaging, Three-Dimensional Osteoarthritis Shoulder Joint Scapula Retrospective Studies Tomography, X-Ray Computed Female Male
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Deep learning-enhanced zero echo time MRI for glenohumeral assessment in shoulder instability: a comparative study with CT.

Skeletal radiology Jun 1, 2025
PURPOSE: To evaluate image quality and lesion conspicuity of zero echo time (ZTE) MRI reconstructed with deep learning (DL)-based algorithm versus conventional reconstruction and to assess DL ZTE performance against CT for bone loss measurements in s...
Humans Image Interpretation, Computer-Assisted Shoulder Joint Joint Instability Male Middle Aged Deep Learning Magnetic Resonance Imaging Tomography, X-Ray Computed Female Reproducibility of Results Adult
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Arthroscopy-validated Diagnostic Performance of 7-Minute Five-Sequence Deep Learning Super-Resolution 3-T Shoulder MRI.

Radiology Feb 1, 2025
Background Deep learning (DL) methods enable faster shoulder MRI than conventional methods, but arthroscopy-validated evidence of good diagnostic performance is scarce. Purpose To validate the clinical efficacy of 7-minute threefold parallel imaging ...
Arthroscopy Shoulder Joint Male Middle Aged Deep Learning Magnetic Resonance Imaging Humans Reproducibility of Results Retrospective Studies Aged Female Adult
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