AIMC Topic: Wrist

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Fracture Detection in Wrist X-ray Images Using Deep Learning-Based Object Detection Models.

Sensors (Basel, Switzerland) Feb 8, 2022
Hospitals, especially their emergency services, receive a high number of wrist fracture cases. For correct diagnosis and proper treatment of these, images obtained from various medical equipment must be viewed by physicians, along with the patient's ...
Humans Wrist X-Rays Wrist Joint Deep Learning Radiography
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Enhanced Recognition of Amputated Wrist and Hand Movements by Deep Learning Method Using Multimodal Fusion of Electromyography and Electroencephalography.

Sensors (Basel, Switzerland) Jan 16, 2022
Motion classification can be performed using biometric signals recorded by electroencephalography (EEG) or electromyography (EMG) with noninvasive surface electrodes for the control of prosthetic arms. However, current single-modal EEG and EMG based ...
Amputees Humans Wrist Brain-Computer Interfaces Algorithms Electromyography Deep Learning Electroencephalography
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Detecting Distal Radial Fractures from Wrist Radiographs Using a Deep Convolutional Neural Network with an Accuracy Comparable to Hand Orthopedic Surgeons.

Journal of digital imaging Dec 15, 2021
In recent years, fracture image diagnosis using a convolutional neural network (CNN) has been reported. The purpose of the present study was to evaluate the ability of CNN to diagnose distal radius fractures (DRFs) using frontal and lateral wrist rad...
Humans Orthopedic Surgeons Radiography Wrist Neural Networks, Computer Deep Learning
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Ambulatory seizure forecasting with a wrist-worn device using long-short term memory deep learning.

Scientific reports Nov 9, 2021
The ability to forecast seizures minutes to hours in advance of an event has been verified using invasive EEG devices, but has not been previously demonstrated using noninvasive wearable devices over long durations in an ambulatory setting. In this s...
Deep Learning Wearable Electronic Devices Cohort Studies Male Middle Aged Wrist Memory Electroencephalography Seizures Humans Forecasting Young Adult Adult Female
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Human Activity Classification Using Multilayer Perceptron.

Sensors (Basel, Switzerland) Sep 16, 2021
The number of smart homes is rapidly increasing. Smart homes typically feature functions such as voice-activated functions, automation, monitoring, and tracking events. Besides comfort and convenience, the integration of smart home functionality with...
Humans Automation Human Activities Housing Neural Networks, Computer Wrist
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Home-based self-help telerehabilitation of the upper limb assisted by an electromyography-driven wrist/hand exoneuromusculoskeleton after stroke.

Journal of neuroengineering and rehabilitation Sep 15, 2021
BACKGROUND: Most stroke survivors have sustained upper limb impairment in their distal joints. An electromyography (EMG)-driven wrist/hand exoneuromusculoskeleton (WH-ENMS) was developed previously. The present study investigated the feasibility of a...
Humans Upper Extremity Treatment Outcome Stroke Rehabilitation Electromyography Telerehabilitation Stroke Wrist Robotics
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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...
Humans Robotics Upper Extremity Wrist Stroke Rehabilitation Wrist Joint Stroke
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Prediction of hand-wrist maturation stages based on cervical vertebrae images using artificial intelligence.

Orthodontics & craniofacial research Aug 17, 2021
OBJECTIVE: To predict the hand-wrist maturation stages based on the cervical vertebrae (CV) images, and to analyse the accuracy of the proposed algorithms.
Cervical Vertebrae Wrist Bone Development Age Determination by Skeleton Child Cephalometry Humans Artificial Intelligence
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2D-3D reconstruction of distal forearm bone from actual X-ray images of the wrist using convolutional neural networks.

Scientific reports Jul 27, 2021
The purpose of the study was to develop a deep learning network for estimating and constructing highly accurate 3D bone models directly from actual X-ray images and to verify its accuracy. The data used were 173 computed tomography (CT) images and 10...
Forearm X-Rays Neural Networks, Computer Wrist Humans
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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...
Electromyography Wrist Joint Biomechanical Phenomena Humans Wrist Neural Networks, Computer
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