591 related articles for article (PubMed ID: 37217878)
1. An automated detection of epileptic seizures EEG using CNN classifier based on feature fusion with high accuracy.
Chen W; Wang Y; Ren Y; Jiang H; Du G; Zhang J; Li J
BMC Med Inform Decis Mak; 2023 May; 23(1):96. PubMed ID: 37217878
[TBL] [Abstract][Full Text] [Related]
2. [Automatic Epileptic Electroencephalogram Detection during Normal,Interictal and Ictal Periods Combining Feature Extraction Based on Sample Entropy and Wavelet Packet Energy with Real AdaBoost Algorithm].
Zhang J; Jiang W; Ben X
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2016 Dec; 33(6):1031-8. PubMed ID: 29714964
[TBL] [Abstract][Full Text] [Related]
3. A novel finite spectral entropy: Gated term memory unit recursive network integrated with Ladybug Beetle Optimization algorithm for epileptic seizure detection.
Golla SK; Maloji S
Int J Numer Method Biomed Eng; 2023 Dec; 39(12):e3769. PubMed ID: 37740655
[TBL] [Abstract][Full Text] [Related]
4. Enhanced Feature Extraction-based CNN Approach for Epileptic Seizure Detection from EEG Signals.
Dhar P; Garg VK; Rahman MA
J Healthc Eng; 2022; 2022():3491828. PubMed ID: 35340257
[TBL] [Abstract][Full Text] [Related]
5. Automatic seizure detection using three-dimensional CNN based on multi-channel EEG.
Wei X; Zhou L; Chen Z; Zhang L; Zhou Y
BMC Med Inform Decis Mak; 2018 Dec; 18(Suppl 5):111. PubMed ID: 30526571
[TBL] [Abstract][Full Text] [Related]
6. A hybrid 1D CNN-BiLSTM model for epileptic seizure detection using multichannel EEG feature fusion.
Ravi S; Radhakrishnan A
Biomed Phys Eng Express; 2024 Apr; 10(3):. PubMed ID: 38579694
[TBL] [Abstract][Full Text] [Related]
7. The detection of epileptic seizure signals based on fuzzy entropy.
Xiang J; Li C; Li H; Cao R; Wang B; Han X; Chen J
J Neurosci Methods; 2015 Mar; 243():18-25. PubMed ID: 25614384
[TBL] [Abstract][Full Text] [Related]
8. Application of non-linear and wavelet based features for the automated identification of epileptic EEG signals.
Acharya UR; Sree SV; Alvin AP; Yanti R; Suri JS
Int J Neural Syst; 2012 Apr; 22(2):1250002. PubMed ID: 23627588
[TBL] [Abstract][Full Text] [Related]
9. Epileptic seizure recognition using EEG wavelet decomposition based on nonlinear and statistical features with support vector machine classification.
Nabil D; Benali R; Bereksi Reguig F
Biomed Tech (Berl); 2020 Apr; 65(2):133-148. PubMed ID: 31536031
[TBL] [Abstract][Full Text] [Related]
10. Automated FBSE-EWT based learning framework for detection of epileptic seizures using time-segmented EEG signals.
Anuragi A; Sisodia DS; Pachori RB
Comput Biol Med; 2021 Sep; 136():104708. PubMed ID: 34358996
[TBL] [Abstract][Full Text] [Related]
11. Spatial Enhanced Pattern Through Graph Convolutional Neural Network for Epileptic EEG Identification.
Lian J; Xu F
Int J Neural Syst; 2022 Sep; 32(9):2250033. PubMed ID: 35719084
[TBL] [Abstract][Full Text] [Related]
12. Extracting epileptic features in EEGs using a dual-tree complex wavelet transform coupled with a classification algorithm.
Al-Salman W; Li Y; Wen P; Miften FS; Oudah AY; Ghayab HRA
Brain Res; 2022 Mar; 1779():147777. PubMed ID: 34999060
[TBL] [Abstract][Full Text] [Related]
13. Graph Eigen Decomposition-Based Feature-Selection Method for Epileptic Seizure Detection Using Electroencephalography.
Molla MKI; Hassan KM; Islam MR; Tanaka T
Sensors (Basel); 2020 Aug; 20(16):. PubMed ID: 32824708
[TBL] [Abstract][Full Text] [Related]
14. Automatic seizure detection using orthogonal matching pursuit, discrete wavelet transform, and entropy based features of EEG signals.
Zarei A; Asl BM
Comput Biol Med; 2021 Apr; 131():104250. PubMed ID: 33578071
[TBL] [Abstract][Full Text] [Related]
15. Identification and classification of epileptic EEG signals using invertible constant-
Eltrass AS; Tayel MB; El-Qady AF
J Neural Eng; 2022 Dec; 19(6):. PubMed ID: 36541556
[No Abstract] [Full Text] [Related]
16. Epileptic Seizures Detection in EEG Signals Using Fusion Handcrafted and Deep Learning Features.
Malekzadeh A; Zare A; Yaghoobi M; Kobravi HR; Alizadehsani R
Sensors (Basel); 2021 Nov; 21(22):. PubMed ID: 34833780
[TBL] [Abstract][Full Text] [Related]
17. Automatic detection of epileptic seizure based on approximate entropy, recurrence quantification analysis and convolutional neural networks.
Gao X; Yan X; Gao P; Gao X; Zhang S
Artif Intell Med; 2020 Jan; 102():101711. PubMed ID: 31980085
[TBL] [Abstract][Full Text] [Related]
18. Classification of single-channel EEG signals for epileptic seizures detection based on hybrid features.
Lu Y; Ma Y; Chen C; Wang Y
Technol Health Care; 2018; 26(S1):337-346. PubMed ID: 29710759
[TBL] [Abstract][Full Text] [Related]
19. Classification of EEG signals using neural network and logistic regression.
Subasi A; Erçelebi E
Comput Methods Programs Biomed; 2005 May; 78(2):87-99. PubMed ID: 15848265
[TBL] [Abstract][Full Text] [Related]
20. EEG-based epileptic seizure detection using binary dragonfly algorithm and deep neural network.
Yogarajan G; Alsubaie N; Rajasekaran G; Revathi T; Alqahtani MS; Abbas M; Alshahrani MM; Soufiene BO
Sci Rep; 2023 Oct; 13(1):17710. PubMed ID: 37853025
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
