AIMC Topic: Electrodes

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Convolutional neural networks and genetic algorithm for visual imagery classification.

Physical and engineering sciences in medicine Jul 13, 2020
Brain-Computer Interface (BCI) systems establish a channel for direct communication between the brain and the outside world without having to use the peripheral nervous system. While most BCI systems use evoked potentials and motor imagery, in the pr...
Male Electroencephalography Signal Processing, Computer-Assisted Reproducibility of Results Adult Imagery, Psychotherapy Electrodes Humans Algorithms Female Neural Networks, Computer
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Time-resolved neurotransmitter detection in mouse brain tissue using an artificial intelligence-nanogap.

Scientific reports Jul 9, 2020
The analysis of neurotransmitters in the brain helps to understand brain functions and diagnose Parkinson's disease. Pharmacological inhibition experiments, electrophysiological measurement of action potentials, and mass analysers have been applied f...
Norepinephrine Electrodes Nanotechnology Parkinson Disease Brain Mapping Serotonin Electric Conductivity Female Neurotransmitter Agents Dopamine Animals Single Molecule Imaging Action Potentials Cerebral Cortex Mice, Inbred C57BL Mice Artificial Intelligence Machine Learning Brain
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High accurate lightweight deep learning method for gesture recognition based on surface electromyography.

Computer methods and programs in biomedicine Jul 3, 2020
BACKGROUND AND OBJECTIVES: Surface Electromyography (sEMG) is used mostly for neuromuscular diagnosis, assistive technology, physical rehabilitation, and human-computer interactions. Achieving a precise and lightweight method along with low latency f...
Deep Learning Gestures Signal Processing, Computer-Assisted Humans Electromyography Electrodes
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Alloying conducting channels for reliable neuromorphic computing.

Nature nanotechnology Jun 8, 2020
A memristor has been proposed as an artificial synapse for emerging neuromorphic computing applications. To train a neural network in memristor arrays, changes in weight values in the form of device conductance should be distinct and uniform. An elec...
Electrodes Silicon Kinetics Thermodynamics Electric Conductivity Neural Networks, Computer Alloys
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Emotion recognition with convolutional neural network and EEG-based EFDMs.

Neuropsychologia Jun 1, 2020
Electroencephalogram (EEG), as a direct response to brain activity, can be used to detect mental states and physical conditions. Among various EEG-based emotion recognition studies, due to the non-linear, non-stationary and the individual difference ...
Electrodes Machine Learning Emotions Electroencephalography Humans Neural Networks, Computer
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Machine-Learning-Enabled Exploration of Morphology Influence on Wire-Array Electrodes for Electrochemical Nitrogen Fixation.

The journal of physical chemistry letters May 29, 2020
Neural networks, trained on data generated by a microkinetic model and finite-element simulations, expand explorable parameter space by significantly accelerating the predictions of electrocatalytic performance. In addition to modeling electrode reac...
Neural Networks, Computer Oxidation-Reduction Electrochemical Techniques Proof of Concept Study Machine Learning Nitrogen Nanowires Electrodes
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Fabrication of Carbon-Based Ionic Electromechanically Active Soft Actuators.

Journal of visualized experiments : JoVE Apr 25, 2020
Ionic electromechanically active capacitive laminates are a type of smart material that move in response to electrical stimulation. Due to the soft, compliant and biomimetic nature of this deformation, actuators made of the laminate have received inc...
Electric Conductivity Electrodes Biomimetics Ions Charcoal Polymers Robotics
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A probabilistic approach for calibration time reduction in hybrid EEG-fTCD brain-computer interfaces.

Biomedical engineering online Apr 16, 2020
BACKGROUND: Generally, brain-computer interfaces (BCIs) require calibration before usage to ensure efficient performance. Therefore, each BCI user has to attend a certain number of calibration sessions to be able to use the system. However, such cali...
Time Factors Calibration Humans Electroencephalography Brain-Computer Interfaces Electrodes Signal Processing, Computer-Assisted Machine Learning Probability
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A Surrogate Model Based on Artificial Neural Network for RF Radiation Modelling with High-Dimensional Data.

International journal of environmental research and public health Apr 9, 2020
This paper focuses on quantifying the uncertainty in the specific absorption rate valuesof the brain induced by the uncertain positions of the electroencephalography electrodes placed onthe patient's scalp. To avoid running a large number of simulati...
Humans Neural Networks, Computer Data Analysis Electrodes Brain Uncertainty Electroencephalography
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Mechanics and Energetics of Electromembranes.

Soft robotics Mar 30, 2020
The recent discovery of electroactive polymers has shown great promises in the field of soft robotics and was logically followed by experimental, numerical, and theoretical developments. Most of these studies were concerned with systems entirely cove...
Electrodes Robotics Polymers
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