AIMC Topic: Knee
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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 ...
Improving quantitative MRI using self-supervised deep learning with model reinforcement: Demonstration for rapid T1 mapping.
Magnetic resonance in medicine
Feb 11, 2024
PURPOSE: This paper proposes a novel self-supervised learning framework that uses model reinforcement, REference-free LAtent map eXtraction with MOdel REinforcement (RELAX-MORE), for accelerated quantitative MRI (qMRI) reconstruction. The proposed me...
Ensemble deep-learning networks for automated osteoarthritis grading in knee X-ray images.
Scientific reports
Dec 21, 2023
The Kellgren-Lawrence (KL) grading system is a scoring system for classifying the severity of knee osteoarthritis using X-ray images, and it is the standard X-ray-based grading system for diagnosing knee osteoarthritis. However, KL grading depends on...
Estimation of Lower Limb Joint Angles and Joint Moments during Different Locomotive Activities Using the Inertial Measurement Units and a Hybrid Deep Learning Model.
Sensors (Basel, Switzerland)
Nov 8, 2023
Using inertial measurement units (IMUs) to estimate lower limb joint kinematics and kinetics can provide valuable information for disease diagnosis and rehabilitation assessment. To estimate gait parameters using IMUs, model-based filtering approache...
A Self-Coordinating Controller with Balance-Guiding Ability for Lower-Limb Rehabilitation Exoskeleton Robot.
Sensors (Basel, Switzerland)
Jun 3, 2023
The restricted posture and unrestricted compliance brought by the controller during human-exoskeleton interaction (HEI) can cause patients to lose balance or even fall. In this article, a self-coordinated velocity vector (SCVV) double-layer controlle...
Deep Learning Reconstruction Enables Prospectively Accelerated Clinical Knee MRI.
Radiology
Jan 17, 2023
Background MRI is a powerful diagnostic tool with a long acquisition time. Recently, deep learning (DL) methods have provided accelerated high-quality image reconstructions from undersampled data, but it is unclear if DL image reconstruction can be r...
Accuracy of Advanced Active Robot for Total Knee Arthroplasty: A Cadaveric Study.
The journal of knee surgery
Jan 13, 2023
Although the accuracy of other types of robotic systems for total knee arthroplasty (TKA) has been assessed in cadaveric studies, no investigations have been performed to evaluate this newly advanced active robotic system. Therefore, the authors aime...
A Joint Group Sparsity-based deep learning for multi-contrast MRI reconstruction.
Journal of magnetic resonance (San Diego, Calif. : 1997)
Dec 8, 2022
Multi-contrast magnetic resonance imaging (MRI) can provide richer diagnosis information. The data acquisition time, however, is increased than single-contrast imaging. To reduce this time, k-space undersampling is an effective way but a smart recons...
Joint mechanical properties estimation with a novel EMG-based knee rehabilitation robot: A machine learning approach.
Medical engineering & physics
Dec 7, 2022
Joint dynamic properties play essential roles in a wide range of biomechanical movement control. This paper develops a device with a novel mechatronic design to apply small-amplitude perturbations to the human knee. Surface Electromyography is employ...
DSMENet: Detail and Structure Mutually Enhancing Network for under-sampled MRI reconstruction.
Computers in biology and medicine
Oct 13, 2022
Reconstructing zero-filled MR images (ZF) from partial k-space by convolutional neural networks (CNN) is an important way to accelerate MRI. However, due to the lack of attention to different components in ZF, it is challenging to learn the mapping f...
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