AIMC Topic: Electrodes

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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...
Neural Networks, Computer Animals Prostheses and Implants Electrodes Sciatic Nerve Rats Action Potentials
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Skin preparation-free, stretchable microneedle adhesive patches for reliable electrophysiological sensing and exoskeleton robot control.

Science advances Jan 17, 2024
High-fidelity and comfortable recording of electrophysiological (EP) signals with on-the-fly setup is essential for health care and human-machine interfaces (HMIs). Microneedle electrodes allow direct access to the epidermis and eliminate time-consum...
Humans Exoskeleton Device Skin Adhesives Electrodes Reproducibility of Results Robotics
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Machine learning for data-driven design of high-safety lithium metal anode.

STAR protocols Jan 9, 2024
Here, we present a protocol for developing an inorganic-organic hybrid interphase layer using the self-assembled monolayers technique to enhance the surface of the lithium metal anode. We describe steps for extracting organic molecules from open-sour...
Diffusion Databases, Factual Electrodes Lithium Machine Learning
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Fast Determination of Rutin on a Biosensor Made Using a Layered Double Hydroxide Nanocomposite Modified Electrode.

Biosensors Dec 29, 2023
In this study, a nanocomposite of LDH/graphene/polyaniline/gold (LDH/rGO/PANI/Au) was synthesized and characterized. The results of characterization showed that the composite material preserved the layered structure of LDH. The composite was dropped ...
Nanocomposites Laccase Biosensing Techniques Electrodes Rutin
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EEGProgress: A fast and lightweight progressive convolution architecture for EEG classification.

Computers in biology and medicine Dec 27, 2023
Because of the intricate topological structure and connection of the human brain, extracting deep spatial features from electroencephalograph (EEG) signals is a challenging and time-consuming task. The extraction of topological spatial information pl...
Electroencephalography Electrodes Neural Networks, Computer Humans Brain
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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...
Robotics Surgery, Computer-Assisted Child Imaging, Three-Dimensional Stereotaxic Techniques Electrodes, Implanted Electrodes Deep Brain Stimulation Female Male Adolescent Child, Preschool Humans Tomography, X-Ray Computed
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Faradaic Impedimetric Immunosensor for Label-Free Point-of-Care Detection of COVID-19 Antibodies Using Gold-Interdigitated Electrode Array.

Biosensors Dec 22, 2023
Label-free electrochemical biosensors have many desirable characteristics in terms of miniaturization, scalability, digitization, and other attributes associated with point-of-care (POC) applications. In the era of COVID-19 and pandemic preparedness,...
Spike Glycoprotein, Coronavirus Antibodies, Monoclonal, Humanized Point-of-Care Systems Electrodes Humans Gold Biosensing Techniques COVID-19 Immunoassay SARS-CoV-2
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Liquid Metal Flexible EMG Gel Electrodes for Gesture Recognition.

Biosensors Jun 29, 2023
Gesture recognition has been playing an increasingly important role in the field of intelligent control and human-computer interaction. Gesture recognition technology based on electromyography (EMG) with high accuracy has been widely applied. However...
Humans Electromyography Electrodes Gestures Artificial Intelligence Metals Algorithms
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Biomass-Derived Carbon Electrodes for High-Performance Supercapacitors.

ChemSusChem May 31, 2023
Supercapacitors with the performance advantages of high-power density are emerging materials for energy storage/conversion systems that can combat climate change caused by CO emissions and are of importance with the development of electronic products...
Climate Change Carbon Electrodes Artificial Intelligence Biomass
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A Highly Robust Amphibious Soft Robot with Imperceptibility Based on a Water-Stable and Self-Healing Ionic Conductor.

Advanced materials (Deerfield Beach, Fla.) May 28, 2023
Dielectric elastomer actuators (DEAs) are widely exploited for actuating soft machines and granting soft robots with capability to operate in both underwater and on-land environments is important to make them adapt to more complex situations. Here, a...
Electrodes Elastomers Electric Conductivity Robotics
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