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Implementation of Deep Neural Networks to Classify EEG Signals using
  Gramian Angular Summation Field for Epilepsy Diagnosis

Implementation of Deep Neural Networks to Classify EEG Signals using Gramian Angular Summation Field for Epilepsy Diagnosis

8 March 2020
Palani Thanaraj Krishnan
B. Parvathavarthini
U. Tanik
V. Rajinikanth
Seifedine Kadry
K. Kamalanand
ArXivPDFHTML

Papers citing "Implementation of Deep Neural Networks to Classify EEG Signals using Gramian Angular Summation Field for Epilepsy Diagnosis"

3 / 3 papers shown
Title
Deep Neural Networks on EEG Signals to Predict Auditory Attention Score
  Using Gramian Angular Difference Field
Deep Neural Networks on EEG Signals to Predict Auditory Attention Score Using Gramian Angular Difference Field
Mahak Kothari
Shreyansh Joshi
Adarsh Nandanwar
Aadetya Jaiswal
V. Baths
18
1
0
24 Oct 2021
An overview of deep learning techniques for epileptic seizures detection
  and prediction based on neuroimaging modalities: Methods, challenges, and
  future works
An overview of deep learning techniques for epileptic seizures detection and prediction based on neuroimaging modalities: Methods, challenges, and future works
A. Shoeibi
Parisa Moridian
Marjane Khodatars
Navid Ghassemi
M. Jafari
...
Juan M Gorriz
Javier Ramírez
Abbas Khosravi
S. Nahavandi
U. Acharya
26
49
0
29 May 2021
Imaging Time-Series to Improve Classification and Imputation
Imaging Time-Series to Improve Classification and Imputation
Zhiguang Wang
Tim Oates
AI4TS
61
667
0
01 Jun 2015
1