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Scott Makeig

An Exploration of Optimal Parameters for Efficient Blind Source Separation of EEG Recordings Using AMICA

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Sep 27, 2023
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A Framework to Evaluate Independent Component Analysis applied to EEG signal: testing on the Picard algorithm

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Oct 16, 2022
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Assessing learned features of Deep Learning applied to EEG

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Nov 08, 2021
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Deep Convolutional Neural Network Applied to Electroencephalography: Raw Data vs Spectral Features

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May 11, 2021
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ICLabel: An automated electroencephalographic independent component classifier, dataset, and website

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Feb 04, 2019
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Spatiotemporal Sparse Bayesian Learning with Applications to Compressed Sensing of Multichannel Physiological Signals

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Nov 15, 2014
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Compressed Sensing of EEG for Wireless Telemonitoring with Low Energy Consumption and Inexpensive Hardware

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Nov 02, 2014
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Compressed Sensing for Energy-Efficient Wireless Telemonitoring of Noninvasive Fetal ECG via Block Sparse Bayesian Learning

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Nov 02, 2014
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