AIMC Topic: Lower Extremity
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Artificial Intelligence for Detecting Acute Fractures in Patients Admitted to an Emergency Department: Real-Life Performance of Three Commercial Algorithms.
Academic radiology
Jul 18, 2023
RATIONALE AND OBJECTIVES: Interpreting radiographs in emergency settings is stressful and a burden for radiologists. The main objective was to assess the performance of three commercially available artificial intelligence (AI) algorithms for detectin...
Artificial Intelligence Has Its Foot on the Gas Pedal-What It Means for Imaging.
Journal of the American College of Radiology : JACR
Jul 17, 2023
Patent Review of Lower Limb Rehabilitation Robotic Systems by Sensors and Actuation Systems Used.
Sensors (Basel, Switzerland)
Jul 7, 2023
Robotic systems for lower limb rehabilitation are essential for improving patients' physical conditions in lower limb rehabilitation and assisting patients with various locomotor dysfunctions. These robotic systems mainly integrate sensors, actuation...
Continuous online prediction of lower limb joints angles based on sEMG signals by deep learning approach.
Computers in biology and medicine
Jun 8, 2023
Continuous online prediction of human joints angles is a key point to improve the performance of man-machine cooperative control. In this study, a framework of online prediction method of joints angles by long short-term memory (LSTM) neural network ...
Estimation of Lower Extremity Joint Moments and 3D Ground Reaction Forces Using IMU Sensors in Multiple Walking Conditions: A Deep Learning Approach.
IEEE journal of biomedical and health informatics
Jun 5, 2023
Human kinetics, specifically joint moments and ground reaction forces (GRFs) can provide important clinical information and can be used to control assistive devices. Traditionally, collection of kinetics is mostly limited to the lab environment becau...
A Self-Coordinating Controller with Balance-Guiding Ability for Lower-Limb Rehabilitation Exoskeleton Robot.
Sensors (Basel, Switzerland)
Jun 3, 2023
The restricted posture and unrestricted compliance brought by the controller during human-exoskeleton interaction (HEI) can cause patients to lose balance or even fall. In this article, a self-coordinated velocity vector (SCVV) double-layer controlle...
Energy spectrum CT index-based machine learning model predicts the effect of intravenous thrombolysis in lower limbs.
Journal of applied clinical medical physics
May 30, 2023
To develop a noninvasive machine learning (ML) model based on energy spectrum computed tomography venography (CTV) indices for preoperatively predicting the effect of intravenous thrombolytic treatment in lower limbs. A total of 3492 slices containin...
Validity of artificial intelligence-based markerless motion capture system for clinical gait analysis: Spatiotemporal results in healthy adults and adults with Parkinson's disease.
Journal of biomechanics
May 19, 2023
Markerless motion capture methods are continuously in development to target limitations encountered in marker-, sensor-, or depth-based systems. Previous evaluation of the KinaTrax markerless system was limited by differences in model definitions, ga...
Voluntary Assist-as-Needed Controller for an Ankle Power-Assist Rehabilitation Robot.
IEEE transactions on bio-medical engineering
May 19, 2023
OBJECTIVE: Although existing assist-as-needed (AAN) controllers have been designed to adapt the robotic assistance to patients' movement performance, they ignore patient's active participation. This study proposed a voluntary AAN (VAAN) controller co...
Spatiotemporal Compliance Control for a Wearable Lower Limb Rehabilitation Robot.
IEEE transactions on bio-medical engineering
May 19, 2023
Compliance control is crucial for physical human-robot interaction, which can enhance the safety and comfort of robot-assisted rehabilitation. In this study, we designed a spatiotemporal compliance control strategy for a new self-designed wearable lo...
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