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06/26/2023
A Comparison of Neuroelectrophysiology Databases
As data sharing has become more prevalent, three pillars - archives, sta...
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11/08/2021
Assessing learned features of Deep Learning applied to EEG
Convolutional Neural Networks (CNNs) have achieved impressive performanc...
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05/11/2021
Deep Convolutional Neural Network Applied to Electroencephalography: Raw Data vs Spectral Features
The success of deep learning in computer vision has inspired the scienti...
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01/22/2019
ICLabel: An automated electroencephalographic independent component classifier, dataset, and website
The electroencephalogram (EEG) provides a non-invasive, minimally restri...
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04/21/2014
Spatiotemporal Sparse Bayesian Learning with Applications to Compressed Sensing of Multichannel Physiological Signals
Energy consumption is an important issue in continuous wireless telemoni...
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05/07/2012
Compressed Sensing for Energy-Efficient Wireless Telemonitoring of Noninvasive Fetal ECG via Block Sparse Bayesian Learning
Fetal ECG (FECG) telemonitoring is an important branch in telemedicine. ...
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10/10/2003