Exploring the Efficacy of Explainable Deep Learning in Identifying Neuromarkers for Precise Prediction of Epilepsy and Causal Connectivity Analysis-Reference-Cited by-同舟云学术

Exploring the Efficacy of Explainable Deep Learning in Identifying Neuromarkers for Precise Prediction of Epilepsy and Causal Connectivity Analysis

Published:2023-06-16 Issue: Volume: Page:
ISSN:
Container-title:2023 The 15th International Conference on Computer Modeling and Simulation
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Author:

Pathak Vishwambhar¹^ORCID,Gaur Vivek¹^ORCID,Mahanti Prabhat K²^ORCID,Chandra Satish³^ORCID

Affiliation:

1. Computer Science and Engineering, Birla Institute of Technology Jaipur Campus, India

2. Computer Science, University of New Brunswick, Canada

3. Computer Engineering, Mahindra University, India

Funder

Department of Science and Technology, Government of India

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3608251.3608292

Reference33 articles.

1. Jalil Rasekhi , Mohammad Reza Karami Mollaei , Mojtaba Bandarabadi, César A. Teixeira, and António Dourado. 2015 . Epileptic seizure prediction based on ratio and differential linear univariate features. Journal of medical signals and sensors, 5(1), 1. Jalil Rasekhi, Mohammad Reza Karami Mollaei, Mojtaba Bandarabadi, César A. Teixeira, and António Dourado. 2015. Epileptic seizure prediction based on ratio and differential linear univariate features. Journal of medical signals and sensors, 5(1), 1.

2. Ernesto Pereda Antoni Gamundi Rubén Rial and Julián González. 1998. Non-linear behaviour of human EEG: fractal exponent versus correlation dimension in awake and sleep stages. Neuroscience letters 250(2) 91-94. Ernesto Pereda Antoni Gamundi Rubén Rial and Julián González. 1998. Non-linear behaviour of human EEG: fractal exponent versus correlation dimension in awake and sleep stages. Neuroscience letters 250(2) 91-94.

3. Klaus Lehnertz , Florian Mormann , Hannes Osterhage , Andy Müller , Jens Prusseit , Anton Chernihovskyi , Matthäus Staniek , Dieter Krug , Stephan Bialonski , and Christian E . Elger . 2007 . State-of-the-art of seizure prediction. Journal of Clinical Neurophy ., 24(2), 147-153. Klaus Lehnertz, Florian Mormann, Hannes Osterhage, Andy Müller, Jens Prusseit, Anton Chernihovskyi, Matthäus Staniek, Dieter Krug, Stephan Bialonski, and Christian E. Elger. 2007. State-of-the-art of seizure prediction. Journal of Clinical Neurophy., 24(2), 147-153.

4. Klaus Lehnertz Christian Geier Thorsten Rings and Kirsten Stahn. 2017. Capturing time-varying brain dynamics. EPJ Nonlinear Biomedical Physics 5 2 Klaus Lehnertz Christian Geier Thorsten Rings and Kirsten Stahn. 2017. Capturing time-varying brain dynamics. EPJ Nonlinear Biomedical Physics 5 2

5. Mark P Richardson. 2012. Large scale brain models of epilepsy: dynamics meets connectomics. Journal of Neurology Neurosurgery & Psychiatry 83(12) 1238-1248. Mark P Richardson. 2012. Large scale brain models of epilepsy: dynamics meets connectomics. Journal of Neurology Neurosurgery & Psychiatry 83(12) 1238-1248.