AIMC Topic: Lower Extremity

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Predicting lower body joint moments and electromyography signals using ground reaction forces during walking and running: An artificial neural network approach.

Gait & posture Jan 21, 2025
BACKGROUND: This study leverages Artificial Neural Networks (ANNs) to predict lower limb joint moments and electromyography (EMG) signals from Ground Reaction Forces (GRF), providing a novel perspective on human gait analysis. This approach aims to e...
Young Adult Adult Biomechanical Phenomena Male Humans Neural Networks, Computer Female Hip Joint Knee Joint Lower Extremity Gait Analysis Walking Ankle Joint Muscle, Skeletal Gait Electromyography Running
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Swarm-initialized adaptive controller with beetle antenna searching of wearable lower limb exoskeleton for sit-to-stand and walking motions.

ISA transactions Jan 14, 2025
In recent years, exoskeleton robots have attracted great interest from researchers in the area of robotics due to their ability to assist human functionality improvement. A wearable lower limb exoskeleton is aimed at supporting the limb functionality...
Humans Algorithms Animals Wearable Electronic Devices Lower Extremity Coleoptera Robotics Exoskeleton Device Equipment Design Walking
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A deep learning-based multi-view approach to automatic 3D landmarking and deformity assessment of lower limb.

Scientific reports Jan 2, 2025
Anatomical Landmark detection in CT-Scan images is widely used in the identification of skeletal disorders. However, the traditional process of manually detecting anatomical landmarks, especially in three dimensions, is both time-consuming and prone ...
Humans Neural Networks, Computer Deep Learning Imaging, Three-Dimensional Lower Extremity Anatomic Landmarks Tomography, X-Ray Computed Female Adult Male
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Risk factors and predictive model construction for lower extremity arterial disease in diabetic patients.

PloS one Dec 30, 2024
OBJECTIVE: To understand the prevalence and associated risk factors of lower extremity arterial disease (LEAD) in Chinese diabetic patients and to construct a risk prediction model.
Middle Aged China Logistic Models Lower Extremity Peripheral Arterial Disease Risk Factors Humans Aged Algorithms Adult Female Male
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Two-dimensional identification of lower limb gait features based on the variational modal decomposition of sEMG signal and convolutional neural network.

Gait & posture Dec 28, 2024
BACKGROUND: Gait feature recognition is crucial to improve the efficiency and coordination of exoskeleton assistance. The recognition methods based on surface electromyographic (sEMG) signals are popular. However, the recognition accuracy of these me...
Humans Electromyography Neural Networks, Computer Male Gait Algorithms Convolutional Neural Networks Gait Analysis Lower Extremity Signal Processing, Computer-Assisted
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Human Collaborative Control of Lower-Limb Prosthesis Based on Game Theory and Fuzzy Approximation.

IEEE transactions on cybernetics Dec 19, 2024
For leg prosthesis user, the soft tissue and skin under the stump of are not accustomed to weight bearing, excessive continuous contact pressure can lead to the risk of degenerative tissue ulceration. This article presents a novel human-robot collabo...
Amputees Artificial Limbs Prosthesis Design Man-Machine Systems Fuzzy Logic Lower Extremity Robotics Game Theory Humans Algorithms
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AI-driven universal lower-limb exoskeleton system for community ambulation.

Science advances Dec 18, 2024
Exoskeletons offer promising solutions for improving human mobility, but a key challenge is ensuring the controller adapts to changing walking conditions. We present an artificial intelligence (AI)-driven universal exoskeleton system that dynamically...
Gait Adult Exoskeleton Device Humans Male Artificial Intelligence Lower Extremity Female Walking
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Review on Portable-Powered Lower Limb Exoskeletons.

Sensors (Basel, Switzerland) Dec 18, 2024
Advancements in science and technology have driven the growing use of robots in daily life, with Portable-Powered Lower Limb Exoskeletons (PPLLEs) emerging as a key innovation. The selection of mechanisms, control strategies, and sensors directly inf...
Humans Exoskeleton Device Wearable Electronic Devices Lower Extremity Robotics Equipment Design
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Noncontrast MRI-based machine learning and radiomics signature can predict the severity of primary lower limb lymphedema.

Journal of vascular surgery. Venous and lymphatic disorders Dec 16, 2024
OBJECTIVE: According to International Lymphology Society guidelines, the severity of lymphedema is determined by the difference in volume between the affected limb and the healthy side divided by the volume of the healthy side. However, this method o...
Middle Aged Severity of Illness Index Magnetic Resonance Imaging Lower Extremity Predictive Value of Tests Image Interpretation, Computer-Assisted Lymphedema Aged Adult Radiomics Male Machine Learning Retrospective Studies Female Humans
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Effectiveness of unilateral lower-limb exoskeleton robot on balance and gait recovery and neuroplasticity in patients with subacute stroke: a randomized controlled trial.

Journal of neuroengineering and rehabilitation Dec 5, 2024
BACKGROUND: Impaired balance and gait in stroke survivors are associated with decreased functional independence. This study aimed to evaluate the effectiveness of unilateral lower-limb exoskeleton robot-assisted overground gait training compared with...
Stroke Gait Humans Exoskeleton Device Female Stroke Rehabilitation Recovery of Function Aged Gait Disorders, Neurologic Robotics Adult Treatment Outcome Postural Balance Male Neuronal Plasticity Single-Blind Method Middle Aged Lower Extremity
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