These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

568 related articles for article (PubMed ID: 31055181)

  • 1. Classification of epileptic EEG recordings using signal transforms and convolutional neural networks.
    San-Segundo R; Gil-Martín M; D'Haro-Enríquez LF; Pardo JM
    Comput Biol Med; 2019 Jun; 109():148-158. PubMed ID: 31055181
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Exploring the potential of pretrained CNNs and time-frequency methods for accurate epileptic EEG classification: a comparative study.
    Jamil M; Aziz MZ; Yu X
    Biomed Phys Eng Express; 2024 May; 10(4):. PubMed ID: 38599183
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Epileptic Seizure Detection with Hybrid Time-Frequency EEG Input: A Deep Learning Approach.
    Pan Y; Zhou X; Dong F; Wu J; Xu Y; Zheng S
    Comput Math Methods Med; 2022; 2022():8724536. PubMed ID: 35211188
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. 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]  

  • 6. Automatic epileptic seizure detection in EEGs based on line length feature and artificial neural networks.
    Guo L; Rivero D; Dorado J; Rabuñal JR; Pazos A
    J Neurosci Methods; 2010 Aug; 191(1):101-9. PubMed ID: 20595035
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Epileptic seizure classification in EEG signals using second-order difference plot of intrinsic mode functions.
    Pachori RB; Patidar S
    Comput Methods Programs Biomed; 2014 Feb; 113(2):494-502. PubMed ID: 24377902
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. Epileptic seizure classifications using empirical mode decomposition and its derivative.
    Karabiber Cura O; Kocaaslan Atli S; Türe HS; Akan A
    Biomed Eng Online; 2020 Feb; 19(1):10. PubMed ID: 32059668
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. Optimized deep neural network architecture for robust detection of epileptic seizures using EEG signals.
    Hussein R; Palangi H; Ward RK; Wang ZJ
    Clin Neurophysiol; 2019 Jan; 130(1):25-37. PubMed ID: 30472579
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A Deep Convolutional Neural Network Method to Detect Seizures and Characteristic Frequencies Using Epileptic Electroencephalogram (EEG) Data.
    Rashed-Al-Mahfuz M; Moni MA; Uddin S; Alyami SA; Summers MA; Eapen V
    IEEE J Transl Eng Health Med; 2021; 9():2000112. PubMed ID: 33542859
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Comparative analysis of ANN performance of four feature extraction methods used in the detection of epileptic seizures.
    Acar Demirci B; Demirci O; Engin M
    Comput Biol Med; 2023 Nov; 166():107491. PubMed ID: 37734353
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Seizure detection by convolutional neural network-based analysis of scalp electroencephalography plot images.
    Emami A; Kunii N; Matsuo T; Shinozaki T; Kawai K; Takahashi H
    Neuroimage Clin; 2019; 22():101684. PubMed ID: 30711680
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Detection of Epileptic Seizure Using Pretrained Deep Convolutional Neural Network and Transfer Learning.
    Nogay HS; Adeli H
    Eur Neurol; 2020; 83(6):602-614. PubMed ID: 33423031
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. Epileptic Seizure Detection Using Multi-Channel EEG Wavelet Power Spectra and 1-D Convolutional Neural Networks.
    Sharan RV; Berkovsky S
    Annu Int Conf IEEE Eng Med Biol Soc; 2020 Jul; 2020():545-548. PubMed ID: 33018047
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Epileptic Focus Localization Using Discrete Wavelet Transform Based on Interictal Intracranial EEG.
    Chen D; Wan S; Bao FS
    IEEE Trans Neural Syst Rehabil Eng; 2017 May; 25(5):413-425. PubMed ID: 28113594
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Epileptic seizure detection: a comparative study between deep and traditional machine learning techniques.
    Sahu R; Dash SR; Cacha LA; Poznanski RR; Parida S
    J Integr Neurosci; 2020 Mar; 19(1):1-9. PubMed ID: 32259881
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Deep Convolutional Neural Network-Based Epileptic Electroencephalogram (EEG) Signal Classification.
    Gao Y; Gao B; Chen Q; Liu J; Zhang Y
    Front Neurol; 2020; 11():375. PubMed ID: 32528398
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 29.