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Comparing wavelet transforms for recognizing cardiac patterns
The authors' study made use of wavelet transforms to describe and recognize isolated cardiac beats. The choice of the wavelet family as well as the selection of the analyzing function into these…
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Ica: a potential tool for bci systems
TLDR
A comparative study of widely used ICA algorithms in the BCI community, conducted on simulated electroencephalography (EEG) data, shows that an appropriate selection of an ICA algorithm may significantly improve the capabilities of BCI systems.
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From EEG signals to brain connectivity: A model-based evaluation of interdependence measures
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Quantitative evaluation of linear and nonlinear methods characterizing interdependencies between brain signals.
TLDR
A comprehensive comparison of different classes of methods (linear and nonlinear regressions, phase synchronization, and generalized synchronization) based on various simulation models is proposed and shows that the performances of the compared methods are highly dependent on the hypothesis regarding the underlying model for the generation of the signals.
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ICA-based EEG denoising: a comparative analysis of fifteen methods
TLDR
This paper focuses on ElectroEncephaloGraphy (EEG) data denoising, and more particularly on removal of muscle artifacts from interictal epileptiform activity, and raises the question whether other ICA methods could be better suited in terms of performance and computational complexity.
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Localized proton spectroscopy without water suppression: removal of gradient induced frequency modulations by modulus signal selection.
TLDR
Proton MRS spectra acquired without water suppression collected from a phantom containing metabolites at concentrations comparable to those in human brain and from a human subject are processed using two different localization methods (PRESS and Chemical Shift Imaging PRESS-(CSI).
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Epileptic transient detection: wavelets and time-frequency approaches
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Analysis-synthesis of the phonocardiogram based on the matching pursuit method
TLDR
The results show that the matching pursuit method is very suitable to the transient and complex properties of the PCGs, as it yielded excellent NRMSEs around 2.2% for the two sets of 11 PCGs tested.
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Brain activity modeling in general anesthesia: enhancing local mean-field models using a slow adaptive firing rate.
TLDR
An enhanced local mean-field model that is suitable for simulating the electroencephalogram (EEG) in different depths of anesthesia is presented and it is shown that the enhanced model may have different working states driven by anesthetic drug concentration.
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Linear Total Variation Approximate Regularized Nuclear Norm Optimization for Matrix Completion
TLDR
This paper proposes a novel matrix completion method, which combines the nuclear norm with the local geometric regularizer to solve the problem of matrix completion for redundant texture images, and mainly considers one of the most commonly graph regularized parameters: the total variation norm.
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