IEEE Transactions on Biomedical Engineering

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Patient-Specific Sensor Registration for Electrical Source Imaging Using a Deformable Head Model
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
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Localization of Origins of Premature Ventricular Contraction by Means of Convolutional Neural Network from 12-lead ECG
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. Methods: The proposed method consists of two CNNs (Segment CNN... Read more
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Spatial Resolution Improvement of EEG Source Reconstruction using swLORETA
Electroencephalography (EEG) and Magnetic Resonance Imaging (MRI) are non invasive neuro-imaging modalities largely used in neurology explorations. MRI is considered as a static modality and could be so important for anatomy by its high spatial resolution. EEG, on the other... Read more