AIMC Topic: Sciatic Nerve
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Time series classification of multi-channel nerve cuff recordings using deep learning.
PloS one
Mar 12, 2024
Neurostimulation and neural recording are crucial to develop neuroprostheses that can restore function to individuals living with disabilities. While neurostimulation has been successfully translated into clinical use for several applications, it rem...
Resource-Efficient Neural Network Architectures for Classifying Nerve Cuff Recordings on Implantable Devices.
IEEE transactions on bio-medical engineering
Jan 19, 2024
BACKGROUND: Closed-loop functional electrical stimulation can use recorded nerve signals to create implantable systems that make decisions regarding nerve stimulation in real-time. Previous work demonstrated convolutional neural network (CNN) discrim...
Ultrasound-guided sciatic nerve block in Wistar rat cadavers: Relevant anatomy and injection distribution.
Veterinary anaesthesia and analgesia
Dec 7, 2023
OBJECTIVE: To investigate the feasibility of an ultrasound-guided sciatic nerve block by describing the sonoanatomy and comparing the distribution of two volumes of bupivacaine dye solution for nerve staining.
Selective peripheral nerve recording using simulated human median nerve activity and convolutional neural networks.
Biomedical engineering online
Dec 7, 2023
BACKGROUND: It is difficult to create intuitive methods of controlling prosthetic limbs, often resulting in abandonment. Peripheral nerve interfaces can be used to convert motor intent into commands to a prosthesis. The Extraneural Spatiotemporal Com...
Electrical Stimulation Induced Current Distribution in Peripheral Nerves Varies Significantly with the Extent of Nerve Damage: A Computational Study Utilizing Convolutional Neural Network and Realistic Nerve Models.
International journal of neural systems
Mar 15, 2023
Electrical stimulation of the peripheral nervous system is a promising therapeutic option for several conditions; however, its effects on tissue and the safety of the stimulation remain poorly understood. In order to devise stimulation protocols that...
Functional Gait Assessment Using Manual, Semi-Automated and Deep Learning Approaches Following Standardized Models of Peripheral Nerve Injury in Mice.
Biomolecules
Sep 23, 2022
Objective: To develop a standardized model of stretch−crush sciatic nerve injury in mice, and to compare outcomes of crush and novel stretch−crush injuries using standard manual gait and sensory assays, and compare them to both semi-automated as well...
Automated stain-free histomorphometry of peripheral nerve by contrast-enhancing techniques and artificial intelligence.
Journal of neuroscience methods
Apr 15, 2022
BACKGROUND: Traditional histopathologic evaluation of peripheral nerve using brightfield microscopy is resource-intensive, necessitating complex sample preparation. Label-free imaging techniques paired with artificial intelligence-based image reconst...
Neurotoxicity of intraneural injection of bupivacaine liposome injectable suspension versus bupivacaine hydrochloride in a porcine model.
Veterinary anaesthesia and analgesia
Oct 11, 2018
OBJECTIVE: To test whether neurotoxic effects of a bupivacaine liposome injectable suspension differ from those of a standard formulation of bupivacaine hydrochloride (HCl) after intraneural injection into the sciatic nerves in pigs.
A Multichannel Continuum Robot for Diagnosis and Treatment of Vascular Lesions.
ACS biomaterials science & engineering
May 12, 2025
In recent years, continuum soft robots have emerged as a promising avenue for the advancement of therapeutic interventions. However, the current continuum robots are often limited to singular functionalities and exhibit a deficiency in diagnostic ca...
Impact of Encapsulation Tissue Growth on Selective Recording in Nerve Cuff Electrodes: A Simulation Study.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2020
Peripheral nerve interfaces (PNIs) allow us to extract motor, sensory and autonomic information from the nervous system and use it as control signals in neuroprosthetic and neuromodulation systems. Recent efforts have aimed to improve the recording s...
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