AIMC Topic: Lower Extremity
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Effectiveness of combined robotics and virtual reality on lower limb functional ability in stroke survivors: A systematic review of randomized controlled trials.
Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology
Jun 3, 2024
Lower limb impairments are common consequences of stroke. Robotics and virtual reality (VR) play crucial roles in improving lower limb function post-stroke. This review aims to assess the effects of combined robot and VR interventions on lower limb f...
Deep Learning for Electromyographic Lower-Limb Motion Signal Classification Using Residual Learning.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Jun 3, 2024
Electromyographic (EMG) signals have gained popularity for controlling prostheses and exoskeletons, particularly in the field of upper limbs for stroke patients. However, there is a lack of research in the lower limb area, and standardized open-sourc...
Lower Limb Motion Recognition with Improved SVM Based on Surface Electromyography.
Sensors (Basel, Switzerland)
May 13, 2024
During robot-assisted rehabilitation, failure to recognize lower limb movement may efficiently limit the development of exoskeleton robots, especially for individuals with knee pathology. A major challenge encountered with surface electromyography (s...
-A machine learning model to predict surgical site infection after surgery of lower extremity fractures.
International orthopaedics
May 3, 2024
PURPOSE: This study aimed to develop machine learning algorithms for identifying predictive factors associated with the risk of postoperative surgical site infection in patients with lower extremity fractures.
Vein segmentation and visualization of upper and lower extremities using convolution neural network.
Biomedizinische Technik. Biomedical engineering
Apr 24, 2024
OBJECTIVES: The study focused on developing a reliable real-time venous localization, identification, and visualization framework based upon deep learning (DL) self-parametrized Convolution Neural Network (CNN) algorithm for segmentation of the venou...
The effects of different positions on lower extremity hemodynamics during robot-assisted laparoscopic radical prostatectomy for prostate cancer.
BMC urology
Apr 20, 2024
PURPOSE: This study aimed to investigate the effects of two different positions on lower extremity hemodynamics during robot-assisted laparoscopic radical prostatectomy (RARP) for prostate cancer.
ATST-Net: A method to identify early symptoms in the upper and lower extremities of PD.
Medical engineering & physics
Apr 19, 2024
Bradykinesia, a core symptom of motor disorders in Parkinson's disease (PD), is a major criterion for screening early PD patients in clinical practice. Currently, many studies have proposed automatic assessment schemes for bradykinesia in PD. However...
Predicting Outcomes Following Lower Extremity Endovascular Revascularization Using Machine Learning.
Journal of the American Heart Association
Apr 19, 2024
BACKGROUND: Lower extremity endovascular revascularization for peripheral artery disease carries nonnegligible perioperative risks; however, outcome prediction tools remain limited. Using machine learning, we developed automated algorithms that predi...
Automatic measurement of lower limb alignment in portable devices based on deep learning for knee osteoarthritis.
Journal of orthopaedic surgery and research
Apr 10, 2024
BACKGROUND: For knee osteoarthritis patients, analyzing alignment of lower limbs is essential for therapy, which is currently measured from standing long-leg radiographs of anteroposterior X-ray (LLR) manually. To address the time wasting, poor repro...
A Multistage Hemiplegic Lower-Limb Rehabilitation Robot: Design and Gait Trajectory Planning.
Sensors (Basel, Switzerland)
Apr 5, 2024
Most lower limb rehabilitation robots are limited to specific training postures to adapt to stroke patients in multiple stages of recovery. In addition, there is a lack of attention to the switching functions of the training side, including left, rig...
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