AIMC Topic: Electromagnetic Fields

Clear Filters Showing 11 to 20 of 35 articles

Computation of transcranial magnetic stimulation electric fields using self-supervised deep learning.

NeuroImage Oct 21, 2022
Electric fields (E-fields) induced by transcranial magnetic stimulation (TMS) can be modeled using partial differential equations (PDEs). Using state-of-the-art finite-element methods (FEM), it often takes tens of seconds to solve the PDEs for comput...
Head Electromagnetic Fields Transcranial Magnetic Stimulation Humans Deep Learning
View on PubMed DOI

A stroke detection and discrimination framework using broadband microwave scattering on stochastic models with deep learning.

Scientific reports Dec 20, 2021
Stroke poses an immense public health burden and remains among the primary causes of death and disability worldwide. Emergent therapy is often precluded by late or indeterminate times of onset before initial clinical presentation. Rapid, mobile, safe...
Humans Neural Networks, Computer Algorithms Normal Distribution Deep Learning Electromagnetic Fields ROC Curve Hemorrhagic Stroke Head Stochastic Processes Reproducibility of Results Microwaves Scattering, Radiation Diagnosis, Computer-Assisted Area Under Curve Brain Computer Simulation
View on PubMed DOI

Magnetic-resonance-based measurement of electromagnetic fields and conductivity in vivo using single current administration-A machine learning approach.

PloS one Jul 22, 2021
Diffusion tensor magnetic resonance electrical impedance tomography (DT-MREIT) is a newly developed technique that combines MR-based measurements of magnetic flux density with diffusion tensor MRI (DT-MRI) data to reconstruct electrical conductivity ...
Phantoms, Imaging Diffusion Tensor Imaging Machine Learning Algorithms Electromagnetic Fields Electric Conductivity Humans
View on PubMed DOI

A Shapeshifting Ferrofluidic Robot.

Soft robotics Oct 23, 2020
To create a miniature shapeshifting robot capable of controlled movement, subdivision, regeneration, passage through small channels, engulfment of particles, object manipulation, and flow manipulation, a droplet of magnetically responsive ferrofluid ...
Robotics Electromagnetic Fields
View on PubMed DOI

Conformational changes of β-thalassemia major hemoglobin and oxidative status of plasma after in vitro exposure to extremely low-frequency electromagnetic fields: An artificial neural network analysis.

Electromagnetic biology and medicine Oct 23, 2020
Electromagnetic fields (EMF) can generate reactive oxygen species and induce oxidative modifications. We investigated the effects of extremely low-frequency electromagnetic fields (ELF-EMF) on oxidative status of plasma and erythrocytes in β-thalasse...
Hemoglobins beta-Thalassemia Electromagnetic Fields Protein Conformation Oxidative Stress Oxidation-Reduction Humans Neural Networks, Computer
View on PubMed DOI

Indication of Electromagnetic Field Exposure via RBF-SVM Using Time-Series Features of Zebrafish Locomotion.

Sensors (Basel, Switzerland) Aug 26, 2020
This paper introduces a novel model based on support vector machine with radial basis function kernel (RBF-SVM) using time-series features of zebrafish () locomotion exposed to different electromagnetic fields (EMFs) to indicate the corresponding EMF...
Zebrafish Locomotion Algorithms Electromagnetic Fields Animals Support Vector Machine
View on PubMed DOI

Sensor-Aided EMF Exposure Assessments in an Urban Environment Using Artificial Neural Networks.

International journal of environmental research and public health Apr 28, 2020
This paper studies the time and space mapping of the electromagnetic field (EMF) exposure induced by cellular base station antennas (BSA) using artificial neural networks (ANN). The reconstructed EMF exposure map (EEM) in urban environment is obtaine...
Cities Environmental Exposure Neural Networks, Computer Electromagnetic Fields Radio Waves
View on PubMed DOI

Development of accurate human head models for personalized electromagnetic dosimetry using deep learning.

NeuroImage Aug 28, 2019
The development of personalized human head models from medical images has become an important topic in the electromagnetic dosimetry field, including the optimization of electrostimulation, safety assessments, etc. Human head models are commonly gene...
Transcranial Magnetic Stimulation Head Electromagnetic Fields Middle Aged Adult Deep Learning Humans Models, Biological Male Magnetic Resonance Imaging Brain Image Interpretation, Computer-Assisted
View on PubMed DOI

Lessons learned from the application of machine learning to studies on plant response to radio-frequency.

Environmental research Aug 16, 2019
This paper applies Machine Learning (ML) algorithms to peer-reviewed publications in order to discern whether there are consistent biological impacts of exposure to non-thermal low power radio-frequency electromagnetic fields (RF-EMF). Expanding on p...
Humans Environmental Exposure Electromagnetic Fields Machine Learning Radio Waves Forecasting
View on PubMed DOI

Obstacle effects on electrocommunication with applications to object detection of underwater robots.

Bioinspiration & biomimetics Aug 16, 2019
Some fish species communicate electrically (termed electrocommunication) in turbid waters where other communication modalities fail. Inspired by this biological phenomenon, we have developed an artificial electrocommunication system for underwater ro...
Electricity Electromagnetic Fields Robotics Electrodes Computer Simulation Communication
View on PubMed DOI
Popular Topics
Recent Journals