AIMC Topic: Hand
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Artificial Intelligence Quantification of Enhanced Synovium Throughout the Entire Hand in Rheumatoid Arthritis on Dynamic Contrast-Enhanced MRI.
Journal of magnetic resonance imaging : JMRI
May 28, 2024
BACKGROUND: Challenges persist in achieving automatic and efficient inflammation quantification using dynamic contrast-enhanced (DCE) MRI in rheumatoid arthritis (RA) patients.
A quality and readability comparison of artificial intelligence and popular health website education materials for common hand surgery procedures.
Hand surgery & rehabilitation
May 21, 2024
INTRODUCTION: ChatGPT and its application in producing patient education materials for orthopedic hand disorders has not been extensively studied. This study evaluated the quality and readability of educational information pertaining to common hand s...
Vision-aided grasp classification: design and evaluation of compact CNN for prosthetic hands.
Biomedical physics & engineering express
May 15, 2024
Powered prosthetic hands capable of executing various grasp patterns are highly sought-after solutions for upper limb amputees. A crucial requirement for such prosthetic hands is the accurate identification of the intended grasp pattern and subsequen...
Effect of task-oriented training assisted by force feedback hand rehabilitation robot on finger grasping function in stroke patients with hemiplegia: a randomised controlled trial.
Journal of neuroengineering and rehabilitation
May 14, 2024
BACKGROUND: Over 80% of patients with stroke experience finger grasping dysfunction, affecting independence in activities of daily living and quality of life. In routine training, task-oriented training is usually used for functional hand training, w...
Ηand dexterities assessment in stroke patients based on augmented reality and machine learning through a box and block test.
Scientific reports
May 8, 2024
A popular and widely suggested measure for assessing unilateral hand motor skills in stroke patients is the box and block test (BBT). Our study aimed to create an augmented reality enhanced version of the BBT (AR-BBT) and evaluate its correlation to ...
Anthropomorphic Tendon-Based Hands Controlled by Agonist-Antagonist Corticospinal Neural Network.
Sensors (Basel, Switzerland)
May 3, 2024
This article presents a study on the neurobiological control of voluntary movements for anthropomorphic robotic systems. A corticospinal neural network model has been developed to control joint trajectories in multi-fingered robotic hands. The propos...
E-BabyNet: Enhanced Action Recognition of Infant Reaching in Unconstrained Environments.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Apr 26, 2024
Machine vision and artificial intelligence hold promise across healthcare applications. In this paper, we focus on the emerging research direction of infant action recognition, and we specifically consider the task of reaching which is an important d...
End-to-End Ultrasonic Hand Gesture Recognition.
Sensors (Basel, Switzerland)
Apr 25, 2024
As the number of electronic gadgets in our daily lives is increasing and most of them require some kind of human interaction, this demands innovative, convenient input methods. There are limitations to state-of-the-art (SotA) ultrasound-based hand ge...
Study on Gesture Recognition Method with Two-Stream Residual Network Fusing sEMG Signals and Acceleration Signals.
Sensors (Basel, Switzerland)
Apr 24, 2024
Currently, surface EMG signals have a wide range of applications in human-computer interaction systems. However, selecting features for gesture recognition models based on traditional machine learning can be challenging and may not yield satisfactory...
Grasping objects with the aid of haptics.
Science robotics
Apr 24, 2024
A smart suction cup uses haptics to supplement vision for exploration of objects in a grasping task.
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