AIMC Topic: Hip Joint
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Wearable Robot Design Optimization Using Closed-Form Human-Robot Dynamic Interaction Model.
Sensors (Basel, Switzerland)
Jun 23, 2024
Wearable robots are emerging as a viable and effective solution for assisting and enabling people who suffer from balance and mobility disorders. Virtual prototyping is a powerful tool to design robots, preventing the costly iterative physical protot...
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...
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 ...
Hip contact forces can be predicted with a neural network using only synthesised key points and electromyography in people with hip osteoarthritis.
Osteoarthritis and cartilage
Mar 3, 2024
OBJECTIVE: To develop and validate a neural network to estimate hip contact forces (HCF), and lower body kinematics and kinetics during walking in individuals with hip osteoarthritis (OA) using synthesised anatomical key points and electromyography. ...
Machine learning-based prediction of hip joint moment in healthy subjects, patients and post-operative subjects.
Computer methods in biomechanics and biomedical engineering
Feb 8, 2024
The application of machine learning in the field of motion capture research is growing rapidly. The purpose of the study is to implement a long-short term memory (LSTM) model able to predict sagittal plane hip joint moment (HJM) across three distinct...
Automated digital templating of component sizing is accurate in robotic total hip arthroplasty when compared to predicate software.
Medical engineering & physics
Jan 10, 2024
Accurate pre-operative templating of prosthesis components is an essential factor in successful total hip arthroplasty (THA), including robotically-assisted THA (RA-THA) techniques. We sought to validate the accuracy of a novel, robotic-optimized THA...
Deep learning-based workflow for hip joint morphometric parameter measurement from CT images.
Physics in medicine and biology
Nov 6, 2023
Precise hip joint morphometry measurement from CT images is crucial for successful preoperative arthroplasty planning and biomechanical simulations. Although deep learning approaches have been applied to clinical bone surgery planning, there is still...
Effect of hip abduction assistance on metabolic cost and balance during human walking.
Science robotics
Oct 25, 2023
The use of wearable robots to provide walking assistance has rapidly grown over the past decade, with notable advances made in robot design and control methods toward reducing physical effort while performing an activity. The reduction in walking eff...
THA-Net: A Deep Learning Solution for Next-Generation Templating and Patient-specific Surgical Execution.
The Journal of arthroplasty
Aug 22, 2023
BACKGROUND: This study introduces THA-Net, a deep learning inpainting algorithm for simulating postoperative total hip arthroplasty (THA) radiographs from a single preoperative pelvis radiograph input, while being able to generate predictions either ...
Precise acetabular positioning, discrepancy in leg length, and hip offset using a new seven-axis robot-assisted total hip arthroplasty system requires no learning curve: a retrospective study.
Journal of orthopaedic surgery and research
Mar 24, 2023
OBJECTIVE: The purpose of the present study was to determine the learning curve for a novel seven-axis robot-assisted total hip arthroplasty (RA-THA) system, and to explore whether it was able to provide greater accuracy in acetabular cup positioning...
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