has been cited by the following article(s):
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[1]
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An Attention-Based Wavelet Convolution Neural Network for Epilepsy EEG Classification
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IEEE Transactions on …,
2022 |
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[2]
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Nonlinear Methods on HD-sEMG Signals for Aging Effect Evaluation During Isometric Contractions of the Biceps Brachii
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… on Intelligent Robotics …,
2022 |
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[3]
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A Novel Blending Hilbert-Kolmogorov Approach for Epileptic Seizures detection
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2020 |
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[4]
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Hand grip strength variability during serial testing as an entropic biomarker of aging: a Poincaré plot analysis
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2020 |
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[5]
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Nonlinear Analysis of EEG Dynamics in Different Epilepsy States Using Lagged Poincaré Maps
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International Journal of Image, Graphics and Signal Processing(IJIGSP),
2018 |
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[6]
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Detecting Epilepsy in EEG Signals Using Time, Frequency and Time-Frequency Domain Features
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Computer Science and Engineering—Theory and Applications,
2018 |
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[7]
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Nonlinear Analysis of EEG Dynamics in Different Epilepsy States Using Lagged PoincarÉ Maps.
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International Journal of Image, Graphics & Signal Processing,
2018 |
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[8]
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Surrogate data test for nonlinearity of EEG signals: A newborn EEG burst suppression case study
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Digital Signal Processing,
2017 |
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[9]
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Human mental states classification using EEG by means of Genetic Programming
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2017 |
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[10]
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Regularity and Matching Pursuit feature extraction for the detection of epileptic seizures
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Journal of Neuroscience Methods,
2016 |
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[1]
|
An Attention-Based Wavelet Convolution Neural Network for Epilepsy EEG Classification
IEEE Transactions on Neural Systems and Rehabilitation Engineering,
2022
DOI:10.1109/TNSRE.2022.3166181
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[2]
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Intelligent Robotics and Applications
Lecture Notes in Computer Science,
2022
DOI:10.1007/978-3-031-13841-6_33
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[3]
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A Novel Blending Hilbert -Kolmogorov Approach for Epileptic Seizures detection
2020 International Joint Conference on Neural Networks (IJCNN),
2020
DOI:10.1109/IJCNN48605.2020.9207396
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[4]
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An Efficient Method for Epileptic Seizure Detection in Long-Term EEG Recordings
Journal of Biomedical Science and Engineering,
2014
DOI:10.4236/jbise.2014.712093
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