AIMC Topic: Forelimb
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Deep learning can detect elbow disease in dogs screened for elbow dysplasia.
Veterinary radiology & ultrasound : the official journal of the American College of Veterinary Radiology and the International Veterinary Radiology Association
Jan 1, 2025
Medical image analysis based on deep learning is a rapidly advancing field in veterinary diagnostics. The aim of this retrospective diagnostic accuracy study was to develop and assess a convolutional neural network (CNN, EfficientNet) to evaluate elb...
Automatic Inference of Rat's Hindlimb Trajectory to Synchronize with Forelimb Gait Through Phase.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2019
Synchronous forelimb-hindlimb gait pattern is important to facilitate natural walking behavior of an injured rat with total transection. Since our ultimate research goal is to build a rehabilitation robotic system to simulate the natural walking patt...
Neural Decoding Forelimb Trajectory Using Evolutionary Neural Networks with Feedback-Error-Learning Schemes.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2018
Changes in the functional mapping between neural activities and kinematic parameters over time poses a challenge to current neural decoder of brain machine interfaces (BMIs). Traditional decoders robust to changes in functional mappings required many...
Addition of forelimb training reduces gains from robotic gait training in a rat model of spinal cord injury.
IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Jul 1, 2017
To restore locomotor function following spinal cord injury the disrupted descending supraspinal drive needs to be re-connected to regions caudal to the injury. Robotic gait training aims to facilitate recovery by stimulating the proprioceptive networ...
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