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In the present study, a physical-model based three-dimensional (3-D) cardiac electrical imaging (3-DCEI) technique was evaluated with the aid of 3-D intra-cardiac mapping from 200 intramural sites during norepinephrine (NE) induced ventricular arrhythmias in the rabbit heart. Body surface potentials and intramural bipolar electrical recordings using plunge-needle electrodes were simultaneously measured...
Three-dimensional cardiac activation imaging (3-DCAI) aims at imaging the activation sequence throughout the 3-D myocardium. In the present study, the performance of 3-DCAI was validated through both in vivo animal experiments and computer simulations under a pacing protocol. The non-invasively imaged activation sequence from body surface potential maps (BSPMs) was quantitatively compared with the...
The accuracy of localizing the initiation site of cardiac activation by noninvasively estimating a single moving dipole (SMD) was investigated in a swine model. Body surface potential mapping (BSPM) and intracavitary noncontact mapping (NCM) were performed simultaneously during acute left ventricular (LV) endocardial pacing. For each animal, the boundary element model was constructed from preoperative...
In the present study, cortical potentials during online BCI experimentation were estimated by solving the inverse problem. The computer cursor was controlled by motor imagination in a standard BCI protocol. An approach of spectral spatiotemporal imaging of cortical potential was proposed and analysis results from online experiment revealed distinct localization of rhythmic activity for different tasks...
We have proposed a new algorithm to extract the anisotropic conductivity of the White Matter (WM) from the diffusion tensor magnetic resonance imaging (DT-MRI) utilizing the volume fraction of the glia, axons and partial CSF within each voxel (VF). The EEG forward problem was solved by means of the finite difference method (FDM), and served to evaluate the proposed VF algorithm. The present computer...
Suitable spatial filters were explored for inverse estimation of cortical potential imaging from the scalp electroencephalogram. The effects of incorporating signal and noise covariance into inverse procedures were examined by computer simulations and experimental study. The parametric Wiener filter (PWF) was applied to an inhomogeneous three-sphere head model under various signal and noise conditions...
In the present study we evaluate the performance of several inverse algorithms for reconstructing the cortical current density distributions from scalp EEG recordings. The direct cortical SEP recordings in a patient were used as a gold standard to assess the performance of the numerical algorithms. The present results suggest that L1-norm methods gave the most accurate results in terms of cortical...
In the present study we evaluate the performance of several inverse algorithms for reconstructing the cortical current density distributions from scalp EEG recordings. The direct cortical SEP recordings in a patient were used as a gold standard to assess the performance of the numerical algorithms. The present results suggest that L1-norm methods gave the most accurate results in terms of cortical...
Suitable spatial filters were explored for inverse estimation of cortical potential imaging from the scalp electroencephalogram. The effects of incorporating signal and noise covariance into inverse procedures were examined by computer simulations and experimental study. The parametric Wiener filter (PWF) was applied to an inhomogeneous three-sphere head model under various signal and noise conditions...
We investigated the source localization performance of the Laplacian weighted minimum norm (LWMN) estimate technique in a realistic geometry (RG) head model in the present study. We simulated current sources at different brain regions with various noise levels. The present results show there is no obvious depth dependency on the three-dimensional (3D) source estimation. The average source localization...
We have developed a new algorithm, FINE, to enhance the spatial resolution and localization accuracy for closely-spaced sources, in the framework of the subspace source localization. Computer simulations were conducted in the present study to evaluate the performance of FINE, as compared with classic subspace source localization algorithms, i.e. MUSIC and RAP-MUSIC, in a realistic geometry head model...
We have developed a high resolution subspace approach for EEG source localization within a realistic geometry inhomogeneous head model. The present study aims to reduce the influence caused by spatially correlated noise from background activities using FINES. Computer simulations were conducted on the realistic geometry head volume conductor model and compared with the classic MUSIC algorithm. The...
We review our recent work on the development and evaluation of three-dimensional electrocardiographic imaging technology (3DEIT). Cardiac electrophysiological properties, including activation time and transmembrane potentials, are estimated from body surface ECG signals with the aid of a realistic geometry heart model in which electrophysiological a priori information is incorporated. We have conducted...
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