AIMC Topic: Hindlimb
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Discrimination of the Lame Limb in Horses Using a Machine Learning Method (Support Vector Machine) Based on Asymmetry Indices Measured by the EQUISYM System.
Sensors (Basel, Switzerland)
Feb 12, 2025
Lameness detection in horses is a critical challenge in equine veterinary practice, particularly when symptoms are mild. This study aimed to develop a predictive system using a support vector machine (SVM) to identify the affected limb in horses trot...
Research on the movement pattern and kinematic model of the hindlegs of the water boatman.
Bioinspiration & biomimetics
Jan 6, 2025
The special hindleg structure and swimming setae of a water boatman give it a high degree of maneuverability, which plays an important role in swimming. This paper used a high-speed photography platform to extract key points from videos, obtaining th...
Comparing Inertial Measurement Units to Markerless Video Analysis for Movement Symmetry in Quarter Horses.
Sensors (Basel, Switzerland)
Oct 12, 2023
BACKGROUND: With an increasing number of systems for quantifying lameness-related movement asymmetry, between-system comparisons under non-laboratory conditions are important for multi-centre or referral-level studies. This study compares an artifici...
Markerless analysis of hindlimb kinematics in spinal cord-injured mice through deep learning.
Neuroscience research
Sep 8, 2021
Rodent models are commonly used to understand the underlying mechanisms of spinal cord injury (SCI). Kinematic analysis, an important technique to measure dysfunction of locomotion after SCI, is generally based on the capture of physical markers plac...
Biologically inspired swimming robotic frog based on pneumatic soft actuators.
Bioinspiration & biomimetics
May 27, 2020
Research on soft robots and swimming robots has been widely reported and demonstrated. However, none of these soft swimming robots can swim flexibly and efficiently using legs, just like a frog. This paper demonstrates a self-contained, untethered sw...
A probabilistic recurrent neural network for decoding hind limb kinematics from multi-segment recordings of the dorsal horn neurons.
Journal of neural engineering
Mar 8, 2019
OBJECTIVE: Providing accurate and robust estimates of limb kinematics from recorded neural activities is prominent in closed-loop control of functional electrical stimulation (FES). A major issue in providing accurate decoding the limb kinematics is ...
Afferent Input Induced by Rhythmic Limb Movement Modulates Spinal Neuronal Circuits in an Innovative Robotic In Vitro Preparation.
Neuroscience
Oct 18, 2018
Locomotor patterns are mainly modulated by afferent feedback, but its actual contribution to spinal network activity during continuous passive limb training is still unexplored. To unveil this issue, we devised a robotic in vitro setup (Bipedal Induc...
Effects of hyaluronidase on ropivacaine or bupivacaine regional anaesthesia of the canine pelvic limb.
Veterinary anaesthesia and analgesia
Sep 28, 2018
OBJECTIVE: To determine the effect of hyaluronidase on time to onset and offset of anaesthesia in ropivacaine or bupivacaine femoral-ischiatic nerve blocks.
Leg-local neural mechanisms for searching and learning enhance robotic locomotion.
Biological cybernetics
Aug 7, 2017
Adapting motor output based on environmental forces is critical for successful locomotion in the real world. Arthropods use at least two neural mechanisms to adjust muscle activation while walking based on detected forces. Mechanism 1 uses negative f...
Robot-Applied Resistance Augments the Effects of Body Weight-Supported Treadmill Training on Stepping and Synaptic Plasticity in a Rodent Model of Spinal Cord Injury.
Neurorehabilitation and neural repair
Jul 25, 2017
BACKGROUND: The application of resistive forces has been used during body weight-supported treadmill training (BWSTT) to improve walking function after spinal cord injury (SCI). Whether this form of training actually augments the effects of BWSTT is ...
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