AIMC Topic: Ankle Joint
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Deep learning reconstruction for turbo spin echo to prospectively accelerate ankle MRI: A multi-reader study.
European journal of radiology
Apr 3, 2024
PURPOSE: To evaluate a deep learning reconstruction for turbo spin echo (DLR-TSE) sequence of ankle magnetic resonance imaging (MRI) in terms of acquisition time, image quality, and lesion detectability by comparing with conventional TSE.
Who Are the Anatomic Outliers Undergoing Total Knee Arthroplasty? A Computed Tomography-Based Analysis of the Hip-Knee-Ankle Axis Across 1,352 Preoperative Computed Tomographies Using a Deep Learning and Computer Vision-Based Pipeline.
The Journal of arthroplasty
Mar 27, 2024
BACKGROUND: Dissatisfaction after total knee arthroplasty (TKA) ranges from 15 to 30%. While patient selection may be partially responsible, morphological and reconstructive challenges may be determinants. Preoperative computed tomography (CT) scans ...
Role of compliant mechanics and motor control in hopping - from human to robot.
Scientific reports
Mar 21, 2024
Compliant leg function found during bouncy gaits in humans and animals can be considered a role model for designing and controlling bioinspired robots and assistive devices. The human musculoskeletal design and control differ from distal to proximal ...
PedBotLab: A Novel Video Game-Based Robotic Ankle Platform Created for Therapeutic Exercise for Children With Neurological Impairments.
Physical & occupational therapy in pediatrics
Feb 28, 2024
AIMS: Assess the potential benefits of using PedBotLab, a clinic based robotic ankle platform with integrated video game software, to improve ankle active and passive range of motion, strength, selective motor control, gait efficiency, and balance.
A Deep Learning Model with a Self-Attention Mechanism for Leg Joint Angle Estimation across Varied Locomotion Modes.
Sensors (Basel, Switzerland)
Dec 29, 2023
Conventional trajectory planning for lower limb assistive devices usually relies on a finite-state strategy, which pre-defines fixed trajectory types for specific gait events and activities. The advancement of deep learning enables walking assistive ...
Human-in-the-Loop Adaptive Control of a Soft Exo-Suit With Actuator Dynamics and Ankle Impedance Adaptation.
IEEE transactions on cybernetics
Nov 29, 2023
Soft exo-suit could facilitate walking assistance activities (such as level walking, upslope, and downslope) for unimpaired individuals. In this article, a novel human-in-the-loop adaptive control scheme is presented for a soft exo-suit, which provid...
User preference optimization for control of ankle exoskeletons using sample efficient active learning.
Science robotics
Oct 18, 2023
One challenge to achieving widespread success of augmentative exoskeletons is accurately adjusting the controller to provide cooperative assistance with their wearer. Often, the controller parameters are "tuned" to optimize a physiological or biomech...
The use of deep learning enables high diagnostic accuracy in detecting syndesmotic instability on weight-bearing CT scanning.
Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA
Oct 12, 2023
PURPOSE: Delayed diagnosis of syndesmosis instability can lead to significant morbidity and accelerated arthritic change in the ankle joint. Weight-bearing computed tomography (WBCT) has shown promising potential for early and reliable detection of i...
Research on an ankle rehabilitation robot for hemiplegic patients after stroke.
Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine
Sep 14, 2023
This paper proposes an ankle rehabilitation robot to assist hemiplegic patients with movement training. The robot consists of two symmetric mechanisms, allowing stroke survivors to execute ankle rehabilitation training based on physiological differen...
Using Deep Learning Models to Predict Prosthetic Ankle Torque.
Sensors (Basel, Switzerland)
Sep 6, 2023
Inverse dynamics from motion capture is the most common technique for acquiring biomechanical kinetic data. However, this method is time-intensive, limited to a gait laboratory setting, and requires a large array of reflective markers to be attached ...
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