Source Localization

Patient-Specific Sensor Registration for Electrical Source Imaging Using a Deformable Head Model

Author(s)3: Lyubomir Zagorchev, Matthias Brueck, Nick Fläschner, Fabian Wenzel, Damon Hyde, Arne Ewald, Jurriaan Peters
Patient-Specific Sensor Registration for Electrical Source Imaging Using a Deformable Head Model 170 177 IEEE Transactions on Biomedical Engineering (TBME)
Electrical Source Imaging is a technique that estimates cortical sources responsible for scalp potentials measured by EEG electrodes. Electrical activity is modeled and reconstructed by formulating a forward problem that describes how electrical currents generated by the cortex travel to the scalp, and solving an inverse problem to estimate cortical sources responsible for measured scalp values. This work presents a model-based approach to electrode localization that is fully automatic, it requires only an MRI scan of the subject without any additional user input, thereby accelerating localization and streamlining clinical workflows. read more

Localization of Origins of Premature Ventricular Contraction by Means of Convolutional Neural Network from 12-lead ECG

Author(s)3: Ting Yang, Long Yu, Qi Jin, Liqun Wu, Bin He
Localization of Origins of Premature Ventricular Contraction by Means of Convolutional Neural Network from 12-lead ECG 170 177 IEEE Transactions on Biomedical Engineering (TBME)

Objective: This paper proposes a novel method to localize origins of premature ventricular contractions (PVCs) from 12-lead electrocardiography (ECG) using convolutional neural network (CNN) and a realistic computer heart model.…

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