AIMC Topic: Thigh

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Deep Learning-based Thigh Muscle Investigation Using MRI For Prosthetic Development for Patients Undergoing Total Knee Replacement (TKR).

Current medical imaging Jan 1, 2024
BACKGROUND: A prosthetic device is designed based on the quantitative analysis of muscle MRI which will improve the muscle control achieved with functional electrical stimulation/ guided robotic exoskeletons. Electromyography (EMG) provides muscle fu...
Humans Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Muscle, Skeletal Thigh Electromyography Prosthesis Design Arthroplasty, Replacement, Knee
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Locate the Superficial Femoral Artery with Occlusion by Deep Neural Network Correcting Interpolation.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2020
In clinical practice, doctors usually use computed tomography angiography (CTA) to examine lower extremity atherosclerotic occlusive (ASO). Conveniently and accurately locating occlusive superficial femoral artery (SFA) which is difficult to extract ...
Neural Networks, Computer Thigh Femoral Artery Angiography Computed Tomography Angiography
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A Dual-Accelerometer System for Classifying Physical Activity in Children and Adults.

Medicine and science in sports and exercise Dec 1, 2018
INTRODUCTION: Accurately monitoring 24-h movement behaviors is a vital step for progressing the time-use epidemiology field. Past accelerometer-based measurement protocols are either hindered by lack of wear time compliance, or the inability to accur...
Humans Machine Learning Female Adult Male Middle Aged Exercise Adolescent Child Models, Theoretical Thigh Accelerometry Sedentary Behavior Back
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Improving Hip-Worn Accelerometer Estimates of Sitting Using Machine Learning Methods.

Medicine and science in sports and exercise Jul 1, 2018
PURPOSE: This study aimed to improve estimates of sitting time from hip-worn accelerometers used in large cohort studies by using machine learning methods developed on free-living activPAL data.
Humans Machine Learning Algorithms Female Aged Breast Neoplasms Cross-Sectional Studies Middle Aged Exercise Pilot Projects Thigh Monitoring, Ambulatory Accelerometry Sitting Position Hip Survivors
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