AIMC Topic: Electrodes, Implanted
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The class imbalance problem in automatic localization of the epileptogenic zone for epilepsy surgery: a systematic review.
Journal of neural engineering
Jun 26, 2025
Accurate localization of the epileptogenic zone (EZ) is crucial for epilepsy surgery, but the class imbalance of epileptogenic vs. non-epileptogenic electrode contacts in intracranial electroencephalography (iEEG) data poses significant challenges fo...
Efficient, Robust, and Accurate CNN Predictor for Neuronal Activation in Directional Deep Brain Stimulation.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
May 7, 2025
The programming of clinical deep brain stimulation (DBS) systems involves numerous combinations of stimulation parameters, such as stimulus amplitude, pulse width, and frequency. As more complex electrode designs, such as directional electrodes, are ...
Quantitative in-vitro assessment of a novel robot-assisted system for cochlear implant electrode insertion.
International journal of computer assisted radiology and surgery
Oct 1, 2024
PURPOSE: As an increasing number of cochlear implant candidates exhibit residual inner ear function, hearing preservation strategies during implant insertion are gaining importance. Manual implantation is known to induce traumatic force and pressure ...
Nanorobot-Based Direct Implantation of Flexible Neural Electrode for BCI.
IEEE transactions on bio-medical engineering
Sep 19, 2024
Brain-Computer Interface (BCI) has gained remarkable prominence in biomedical community. While BCI holds vast potential across diverse domains, the implantation of neural electrodes poses multifaceted challenges to fully explore the power of BCI. Con...
Generalisation capabilities of machine-learning algorithms for the detection of the subthalamic nucleus in micro-electrode recordings.
International journal of computer assisted radiology and surgery
Jul 1, 2024
PURPOSE: Micro-electrode recordings (MERs) are a key intra-operative modality used during deep brain stimulation (DBS) electrode implantation, which allow for a trained neurophysiologist to infer the anatomy in which the electrode is placed. As DBS t...
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...
Evaluating the impact of reinforcement learning on automatic deep brain stimulation planning.
International journal of computer assisted radiology and surgery
Feb 27, 2024
PURPOSE: Traditional techniques for automating the planning of brain electrode placement based on multi-objective optimization involving many parameters are subject to limitations, especially in terms of sensitivity to local optima, and tend to be re...
Frame-based versus robot-assisted stereo-electro-encephalography for drug-resistant epilepsy.
Acta neurochirurgica
Feb 16, 2024
BACKGROUND: Stereoelectroencephalography (SEEG) is an effective presurgical invasive evaluation for drug-resistant epilepsies. The introduction of robotic devices provides a simplified, accurate, and safe alternative to the conventional SEEG techniqu...
Review of the targeting accuracy of frameless and frame-based robot-assisted deep brain stimulation electrode implantation in pediatric patients using the Neurolocate module.
Journal of neurosurgery. Pediatrics
Dec 22, 2023
OBJECTIVE: The Neurolocate module is a 3D frameless patient registration module that is designed for use with the Neuromate stereotactic robot. Long-term electrical stimulation of the globus pallidus internus (GPi) and subthalamic nucleus (STN) via d...
Learning Curve in Robotic Stereoelectroencephalography: Single Platform Experience.
World neurosurgery
Nov 28, 2023
BACKGROUND: Learning curve, training, and cost impede widespread implementation of new technology. Neurosurgical robotic technology introduces challenges to visuospatial reasoning and requires the acquisition of new fine motor skills. Studies detaili...
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