AIMC Topic: Wrist Joint

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Artificial intelligence to diagnosis distal radius fracture using biplane plain X-rays.

Journal of orthopaedic surgery and research Nov 25, 2021
BACKGROUND: Although the automatic diagnosis of fractures using artificial intelligence (AI) has recently been reported to be more accurate than those by orthopedics specialists, big data with at least 1000 images or more are required for deep learni...
Humans Artificial Intelligence Diagnosis, Computer-Assisted Radiography Wrist Joint Radius Fractures Wrist Injuries X-Rays
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Efficacy of wrist robot-aided orthopedic rehabilitation: a randomized controlled trial.

Journal of neuroengineering and rehabilitation Aug 31, 2021
BACKGROUND: In recent years, many studies focused on the use of robotic devices for both the assessment and the neuro-motor reeducation of upper limb in subjects after stroke, spinal cord injuries or affected by neurological disorders. Contrarily, it...
Stroke Rehabilitation Wrist Joint Wrist Stroke Upper Extremity Humans Robotics
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Inter-Subject Domain Adaptation for CNN-Based Wrist Kinematics Estimation Using sEMG.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Jun 14, 2021
Recently, convolutional neural network (CNN) has been widely investigated to decode human intentions using surface Electromyography (sEMG) signals. However, a pre-trained CNN model usually suffers from severe degradation when testing on a new individ...
Wrist Electromyography Wrist Joint Humans Neural Networks, Computer Biomechanical Phenomena
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Automated Segmentation of the Median Nerve in the Carpal Tunnel using U-Net.

Ultrasound in medicine & biology Apr 27, 2021
Nerve area and motion in carpal tunnel syndrome (CTS) are currently under investigation in terms of prognostic potential. Therefore, there is increasing interest in non-invasive measurement of the nerve using ultrasound. Manual segmentation is time c...
Ultrasonography Humans Range of Motion, Articular Wrist Joint Neural Networks, Computer Median Nerve Carpal Tunnel Syndrome
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A robot-aided visuomotor wrist training induces gains in proprioceptive and movement accuracy in the contralateral wrist.

Scientific reports Mar 5, 2021
Proprioceptive training is a neurorehabilitation approach known to improve proprioceptive acuity and motor performance of a joint/limb system. Here, we examined if such learning transfers to the contralateral joints. Using a robotic exoskeleton, 15 h...
Humans Female Young Adult Robotics Wrist Healthy Volunteers Functional Laterality Adult Male Adolescent Wrist Joint Exoskeleton Device Motor Activity Proprioception
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Hand Gesture Recognition Using Single Patchable Six-Axis Inertial Measurement Unit via Recurrent Neural Networks.

Sensors (Basel, Switzerland) Feb 17, 2021
Recording human gestures from a wearable sensor produces valuable information to implement control gestures or in healthcare services. The wearable sensor is required to be small and easily worn. Advances in miniaturized sensor and materials research...
Motion Wrist Joint Wireless Technology Humans Neural Networks, Computer Wearable Electronic Devices Gestures Wrist Hand
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Machine learning augmented near-infrared spectroscopy: In vivo follow-up of cartilage defects.

Osteoarthritis and cartilage Dec 30, 2020
OBJECTIVE: To assess the potential of near-infrared spectroscopy (NIRS) for in vivo arthroscopic monitoring of cartilage defects.
Animals Carpal Joints Spectroscopy, Near-Infrared Neural Networks, Computer Cartilage Diseases Organ Size Machine Learning Cartilage, Articular Horses Wrist Joint Arthroscopy
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An Exoneuromusculoskeleton for Self-Help Upper Limb Rehabilitation After Stroke.

Soft robotics Dec 3, 2020
This article presents a novel electromyography (EMG)-driven exoneuromusculoskeleton that integrates the neuromuscular electrical stimulation (NMES), soft pneumatic muscle, and exoskeleton techniques, for self-help upper limb training after stroke. Th...
Humans Stroke Rehabilitation Robotics Wrist Joint Stroke Upper Extremity
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Deep Learning to Predict Energy Expenditure and Activity Intensity in Free Living Conditions using Wrist-specific Accelerometry.

Journal of sports sciences Oct 30, 2020
Wrist-worn accelerometers are more comfortable and yield greater compliance than hip-worn devices, making them attractive for free-living activity assessments. However, intricate wrist movements may require more complex predictive models than those a...
Deep Learning Fitness Trackers Male Energy Metabolism Humans Middle Aged Accelerometry Wrist Joint Female Exercise Adult
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Traditional and New Methods of Bone Age Assessment-An Overview.

Journal of clinical research in pediatric endocrinology Oct 26, 2020
Bone age is one of biological indicators of maturity used in clinical practice and it is a very important parameter of a child’s assessment, especially in paediatric endocrinology. The most widely used method of bone age assessment is by performing a...
Age Determination by Skeleton Adolescent Development Hand Bones Reproducibility of Results Automation Young Adult Child Development Male Wrist Joint Neural Networks, Computer Predictive Value of Tests Humans Female Radiographic Image Interpretation, Computer-Assisted Adolescent Infant Infant, Newborn Observer Variation Child, Preschool Child Diagnosis, Computer-Assisted Age Factors Deep Learning
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