AIMC Topic: Knee Joint
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Effects of robotic gait rehabilitation on biomechanical parameters in the chronic hemiplegic patients.
Neurophysiologie clinique = Clinical neurophysiology
Sep 14, 2015
Hemiplegia is a more or less complete loss of hemibody voluntary motricity following a brain injury, usually resulting in alterations of the locomotor system with persistent disorders of movement and posture. We were interested in studying the gait p...
Robotic axial lower leg testing: repeatability and reproducibility.
Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA
Sep 10, 2015
PURPOSE: The purpose of this study was to determine the test-retest reliability and the repeatability over multiple days of a robotic testing device when used to measure laxity of the lower leg during a simulated dial test.
Surrogate modeling of deformable joint contact using artificial neural networks.
Medical engineering & physics
Jul 26, 2015
Deformable joint contact models can be used to estimate loading conditions for cartilage-cartilage, implant-implant, human-orthotic, and foot-ground interactions. However, contact evaluations are often so expensive computationally that they can be pr...
A method to accurately estimate the muscular torques of human wearing exoskeletons by torque sensors.
Sensors (Basel, Switzerland)
Apr 9, 2015
In exoskeletal robots, the quantification of the user's muscular effort is important to recognize the user's motion intentions and evaluate motor abilities. In this paper, we attempt to estimate users' muscular efforts accurately using joint torque s...
The influence of the medial meniscus in different conditions on anterior tibial translation in the anterior cruciate deficient knee.
International orthopaedics
Nov 15, 2014
PURPOSE: The purpose of this study was the evaluation of knee laxity in the ACL-deficient knee with combined meniscal tear, meniscal suture and partial medial meniscectomy.
Predicting Knee Osteoarthritis Severity from Radiographic Predictors: Data from the Osteoarthritis Initiative.
Annals of biomedical engineering
Aug 1, 2025
PURPOSE: In knee osteoarthritis (KOA) treatment, preventive measures to reduce its onset risk are a key factor. Among individuals with radiographically healthy knees, however, future knee joint integrity and condition cannot be predicted by clinicall...
A Modular, Mechanical Knee Model for the Development and Validation of Robotic Testing Methodologies.
Journal of biomechanical engineering
Jul 1, 2025
Six-degree-of-freedom robotic testing is used to gain insight into knee function by measuring the biomechanics of cadaveric knees. However, it can be challenging to use cadaveric knees to validate robotic testing methodologies and to compare methodol...
Fine-Tuning Deep Learning Model for Quantitative Knee Joint Mapping With MR Fingerprinting and Its Comparison to Dictionary Matching Method: Fine-Tuning Deep Learning Model for Quantitative MRF.
NMR in biomedicine
Jun 1, 2025
Magnetic resonance fingerprinting (MRF), as an emerging versatile and noninvasive imaging technique, provides simultaneous quantification of multiple quantitative MRI parameters, which have been used to detect changes in cartilage composition and str...
Deep Learning in Knee MRI: A Prospective Study to Enhance Efficiency, Diagnostic Confidence and Sustainability.
Academic radiology
Jun 1, 2025
RATIONALE AND OBJECTIVES: The objective of this study was to evaluate a combination of deep learning (DL)-reconstructed parallel acquisition technique (PAT) and simultaneous multislice (SMS) acceleration imaging in comparison to conventional knee ima...
Generating Synthetic T2*-Weighted Gradient Echo Images of the Knee with an Open-source Deep Learning Model.
Academic radiology
Jun 1, 2025
RATIONALE AND OBJECTIVES: Routine knee MRI protocols for 1.5 T and 3 T scanners, do not include T2*-w gradient echo (T2*W) images, which are useful in several clinical scenarios such as the assessment of cartilage, synovial blooming (deposition of he...
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