AIMC Topic: Electrodes

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A machine-learning-integrated portable electrochemiluminescence sensing platform for the visualization and high-throughput immunoassays.

Talanta May 15, 2025
Electrochemiluminescence (ECL)-based point-of-care testing (POCT) has the potential to facilitate the rapid identification of diseases, offering advantages such as high sensitivity, strong selectivity, and minimal background interference. However, as...
Electrochemical Techniques Gold Metal Nanoparticles Biosensing Techniques Support Vector Machine Immunoassay Limit of Detection Electrodes Neural Networks, Computer Luminescent Measurements High-Throughput Screening Assays Machine Learning SARS-CoV-2 Smartphone COVID-19 Humans
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EEG-GMACN: Interpretable EEG Graph Mutual Attention Convolutional Network.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Electroencephalogram (EEG) is a valuable technique to record brain electrical activity through electrodes placed on the scalp. Analyzing EEG signals contributes to the understanding of neurological conditions and developing brain-computer interface. ...
Electrodes Brain-Computer Interfaces Electroencephalography Signal Processing, Computer-Assisted Humans Algorithms Brain Neural Networks, Computer
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Label-Free Classification of L-Histidine Vs Artificial Human Sweat Using Laser Scribed Electrodes and a Multi-Layer Perceptron Neural Network.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
A challenge in wearable technology lies in the realtime monitoring of molecular biomarkers associated with human health. Electrochemical sensors are one of the most useful tools for this purpose and are commonly used in health monitoring devices. Ele...
Humans Biosensing Techniques Electrochemical Techniques Electrodes Neural Networks, Computer Algorithms Histidine Multilayer Perceptrons Lasers Sweat
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Machine learning classifiers for electrode selection in the design of closed-loop neuromodulation devices for episodic memory improvement.

Cerebral cortex (New York, N.Y. : 1991) Jun 20, 2023
Successful neuromodulation approaches to alter episodic memory require closed-loop stimulation predicated on the effective classification of brain states. The practical implementation of such strategies requires prior decisions regarding electrode im...
Mental Recall Brain-Computer Interfaces Memory, Episodic Random Forest Electrodes Brain Support Vector Machine Unsupervised Machine Learning Humans Electroencephalography Cluster Analysis
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A warm hug from a robot: A dual-mode e-skin with programming compliance.

The Review of scientific instruments Nov 1, 2022
Recent achievements in the field of electronic skin (e-skin) have provided promising technology for service robots. However, the development of a bionic perception system that exhibits superior performance in terms of safety and interaction quality r...
Wearable Electronic Devices Humans Touch Computer Simulation Robotics Electrodes Male
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Application of neural network approach for modelling COD reduction from real refinery effluent by electrocoagulation.

Water science and technology : a journal of the International Association on Water Pollution Research Nov 1, 2022
The present study aims to investigate the feasibility of implementing the electrocoagulation (EC) process to treat Algiers refinery effluent. The electrocoagulation was performed by using scrap aluminum plate electrodes in monopolar-parallel mode. Se...
Neural Networks, Computer Biological Oxygen Demand Analysis Electrocoagulation Aluminum Electrodes
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Comparing the Usability of Alternative EEG Devices to Traditional Electrode Caps for SSVEP-BCI Controlled Assistive Robots.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings] Jul 1, 2022
Despite having the potential to improve the lives of severely paralyzed users, non-invasive Brain Computer Interfaces (BCI) have yet to be integrated into their daily lives. The widespread adoption of BCI-driven assistive technology is hindered by it...
Electroencephalography Electrodes Brain-Computer Interfaces Humans Robotics Evoked Potentials, Visual Evoked Potentials
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EEG-GAT: Graph Attention Networks for Classification of Electroencephalogram (EEG) Signals.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2022
Graph neural networks (GNN) are an emerging framework in the deep learning community. In most GNN applications, the graph topology of data samples is provided in the dataset. Specifically, the graph shift operator (GSO), which could be adjacency, gra...
Polymers Electrodes Neural Networks, Computer Algorithms Electroencephalography
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EEG-based Emotion Recognition Using Graph Convolutional Network with Learnable Electrode Relations.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Nov 1, 2021
Emotion recognition based on electroencephalography (EEG) plays a pivotal role in the field of affective computing, and graph convolutional neural network (GCN) has been proved to be an effective method and made considerable progress. Since the adjac...
Electrodes Emotions Neural Networks, Computer Electroencephalography Brain
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EEG-GNN: Graph Neural Networks for Classification of Electroencephalogram (EEG) Signals.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Nov 1, 2021
Convolutional neural networks (CNN) have been frequently used to extract subject-invariant features from electroencephalogram (EEG) for classification tasks. This approach holds the underlying assumption that electrodes are equidistant analogous to p...
Neural Networks, Computer Computer Systems Electroencephalography Electrodes
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