AIMC Topic: Leg

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Efficacy of the opened legs position for protecting against postoperative rhabdomyolysis after robot-assisted radical prostatectomy: A propensity score-matched analysis of perioperative outcomes.

International journal of urology : official journal of the Japanese Urological Association May 23, 2022
OBJECTIVES: The aim of the present study was to clarify the relationships of intraoperative surgical position with the incidence of postoperative rhabdomyolysis and with postoperative renal function to safely perform robot-assisted radical prostatect...
Robotics Rhabdomyolysis Creatine Kinase Humans Male Propensity Score Prostatectomy Leg Prostatic Neoplasms Prostate-Specific Antigen Robotic Surgical Procedures
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Deep Learning Methods for Speed Estimation of Bipedal Motion from Wearable IMU Sensors.

Sensors (Basel, Switzerland) May 19, 2022
The estimation of the speed of human motion from wearable IMU sensors is required in applications such as pedestrian dead reckoning. In this paper, we test deep learning methods for the prediction of the motion speed from raw readings of a low-cost I...
Leg Humans Deep Learning Wearable Electronic Devices Pedestrians Motion
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Study on the Effects of Different Seat and Leg Support Conditions of a Trunk Rehabilitation Robot.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Apr 5, 2022
Performance of trunk rehabilitation exercises while sitting on movable surfaces with feet on the ground can increase trunk and leg muscle activations, and constraining the feet to move with the seat isolates control of the trunk. However, there are n...
Adult Posture Robotics Postural Balance Leg Torso Humans
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BirdBot achieves energy-efficient gait with minimal control using avian-inspired leg clutching.

Science robotics Mar 16, 2022
Designers of legged robots are challenged with creating mechanisms that allow energy-efficient locomotion with robust and minimalistic control. Sources of high energy costs in legged robots include the rapid loading and high forces required to suppor...
Biomechanical Phenomena Leg Animals Birds Robotics Gait Locomotion
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TALBOT: A Track-Leg Transformable Robot.

Sensors (Basel, Switzerland) Feb 14, 2022
This article introduces a tracked-leg transformable robot, TALBOT. The mechanical and electrical design, control method, and environment perception based on LiDAR are discussed. The original tracked-leg transformable structure allows the robot to swi...
Leg Adaptation, Physiological Algorithms Robotics Gait
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Crab-inspired compliant leg design method for adaptive locomotion of a multi-legged robot.

Bioinspiration & biomimetics Jan 24, 2022
has unique limb structures composed of a hard exoskeleton and flexible muscles. They enable the crab to locomote adaptively and safely on various terrains. In this work, we investigated the limb structures, motion principle, and gaits of the crab usi...
Gait Locomotion Leg Lower Extremity Robotics Walking
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Predicting surgical outcomes for chronic exertional compartment syndrome using a machine learning framework with embedded trust by interrogation strategies.

Scientific reports Dec 20, 2021
Chronic exertional compartment syndrome (CECS) is a condition occurring most frequently in the lower limbs and often requires corrective surgery to alleviate symptoms. Amongst military personnel, the success rates of this surgery can be as low as 20%...
Return to Work Chronic Exertional Compartment Syndrome Leg Fasciotomy Female Reproducibility of Results Young Adult Support Vector Machine Humans Adult Lower Extremity Sensitivity and Specificity Machine Learning Models, Statistical Male Prognosis Time Factors Area Under Curve Middle Aged ROC Curve Exercise Military Personnel Treatment Outcome Surveys and Questionnaires Linear Models
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Deep learning for automatic segmentation of thigh and leg muscles.

Magma (New York, N.Y.) Oct 19, 2021
OBJECTIVE: In this study we address the automatic segmentation of selected muscles of the thigh and leg through a supervised deep learning approach.
Thigh Leg Image Processing, Computer-Assisted Deep Learning Magnetic Resonance Imaging Muscle, Skeletal
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Deep learning methods for automatic segmentation of lower leg muscles and bones from MRI scans of children with and without cerebral palsy.

NMR in biomedicine Sep 21, 2021
Cerebral palsy is a neurological condition that is known to affect muscle growth. Detailed investigations of muscle growth require segmentation of muscles from MRI scans, which is typically done manually. In this study, we evaluated the performance o...
Muscle, Skeletal Sample Size Humans Male Cerebral Palsy Bone and Bones Child, Preschool Female Deep Learning Leg Child Adolescent
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Classification of Walking Environments Using Deep Learning Approach Based on Surface EMG Sensors Only.

Sensors (Basel, Switzerland) Jun 18, 2021
Classification of terrain is a vital component in giving suitable control to a walking assistive device for the various walking conditions. Although surface electromyography (sEMG) signals have been combined with inputs from other sensors to detect w...
Leg Muscle, Skeletal Humans Electromyography Deep Learning Walking
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