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02/16/2022
Low Latency Real-Time Seizure Detection Using Transfer Deep Learning
Scalp electroencephalogram (EEG) signals inherently have a low signal-to...
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01/03/2018
Improved EEG Event Classification Using Differential Energy
Feature extraction for automatic classification of EEG signals typically...
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01/03/2018
Semi-automated Annotation of Signal Events in Clinical EEG Data
To be effective, state of the art machine learning technology needs larg...
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01/03/2018
An Analysis of Two Common Reference Points for EEGs
Clinical electroencephalographic (EEG) data varies significantly dependi...
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01/03/2018
The Temple University Hospital Seizure Detection Corpus
We introduce the TUH EEG Seizure Corpus (TUSZ), which is the largest ope...
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01/03/2018
Optimizing Channel Selection for Seizure Detection
Interpretation of electroencephalogram (EEG) signals can be complicated ...
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01/03/2018
Gated Recurrent Networks for Seizure Detection
Recurrent Neural Networks (RNNs) with sophisticated units that implement...
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12/29/2017
Objective evaluation metrics for automatic classification of EEG events
The evaluation of machine learning algorithms in biomedical fields for a...
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12/28/2017
Deep Architectures for Automated Seizure Detection in Scalp EEGs
Automated seizure detection using clinical electroencephalograms is a ch...
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12/28/2017
