AIMC Topic: Knee Joint
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The Effect of Sensor Feature Inputs on Joint Angle Prediction across Simple Movements.
Sensors (Basel, Switzerland)
Jun 5, 2024
The use of wearable sensors, such as inertial measurement units (IMUs), and machine learning for human intent recognition in health-related areas has grown considerably. However, there is limited research exploring how IMU quantity and placement affe...
Application of Machine Learning Methods to Investigate Joint Load in Agility on the Football Field: Creating the Model, Part I.
Sensors (Basel, Switzerland)
Jun 5, 2024
Laboratory studies have limitations in screening for anterior cruciate ligament (ACL) injury risk due to their lack of ecological validity. Machine learning (ML) methods coupled with wearable sensors are state-of-art approaches for joint load estimat...
Machine learning-based bioimpedance assessment of knee osteoarthritis severity.
Biomedical physics & engineering express
May 10, 2024
This study proposes a multiclass model to classify the severity of knee osteoarthritis (KOA) using bioimpedance measurements. The experimental setup considered three types of measurements using eight electrodes: global impedance with adjacent pattern...
Characterizing Osteophyte Formation in Knee Osteoarthritis: Application of Machine Learning Quantification of a Computerized Tomography Cohort: Implications for Treatment.
The Journal of arthroplasty
May 7, 2024
BACKGROUND: Osteophytes are commonly used to diagnose and guide knee osteoarthritis (OA) treatment, but their causes are unclear. Although they are not typically the focus of knee arthroplasty surgeons, they can predict case difficulty and length. Fu...
Combining enhanced spectral resolution of EMG and a deep learning approach for knee pathology diagnosis.
PloS one
May 7, 2024
Knee osteoarthritis (OA) is a prevalent, debilitating joint condition primarily affecting the elderly. This investigation aims to develop an electromyography (EMG)-based method for diagnosing knee pathologies. EMG signals of the muscles surrounding t...
Factors to improve odds of success following medial opening-wedge high tibial osteotomy: a machine learning analysis.
BMC musculoskeletal disorders
Apr 24, 2024
BACKGROUND: Although high tibial osteotomy (HTO) is an established treatment option for medial compartment osteoarthritis, predictive factors for HTO treatment success remain unclear. This study aimed to identify informative variables associated with...
Joint reconstruction and segmentation in undersampled 3D knee MRI combining shape knowledge and deep learning.
Physics in medicine and biology
Apr 24, 2024
Task-adapted image reconstruction methods using end-to-end trainable neural networks (NNs) have been proposed to optimize reconstruction for subsequent processing tasks, such as segmentation. However, their training typically requires considerable ha...
Exploring Human-Exoskeleton Interaction Dynamics: An In-Depth Analysis of Knee Flexion-Extension Performance across Varied Robot Assistance-Resistance Configurations.
Sensors (Basel, Switzerland)
Apr 21, 2024
Knee rehabilitation therapy after trauma or neuromotor diseases is fundamental to restore the joint functions as best as possible, exoskeleton robots being an important resource in this context, since they optimize therapy by applying tailored forces...
Gait Alterations and Association With Worsening Knee Pain and Physical Function: A Machine Learning Approach With Wearable Sensors in the Multicenter Osteoarthritis Study.
Arthritis care & research
Apr 17, 2024
OBJECTIVE: The objective of this study was to identify gait alterations related to worsening knee pain and worsening physical function, using machine learning approaches applied to wearable sensor-derived data from a large observational cohort.
Robot-assisted anterior cruciate ligament reconstruction based on three-dimensional images.
Journal of orthopaedic surgery and research
Apr 17, 2024
Background Tunnel placement is a key step in anterior cruciate ligament (ACL) reconstruction. The purpose of this study was to evaluate the accuracy of bone tunnel drilling in arthroscopic ACL reconstruction assisted by a three-dimensional (3D) image...
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