BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

302 related articles for article (PubMed ID: 36196623)

  • 1. A medium-weight deep convolutional neural network-based approach for onset epileptic seizures classification in EEG signals.
    Nemati N; Meshgini S
    Brain Behav; 2022 Nov; 12(11):e2763. PubMed ID: 36196623
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. 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]  

  • 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. 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]  

  • 6. 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]  

  • 7. 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]  

  • 8. Automatic seizure detection and classification using super-resolution superlet transform and deep neural network -A preprocessing-less method.
    Tripathi PM; Kumar A; Kumar M; Komaragiri RS
    Comput Methods Programs Biomed; 2023 Oct; 240():107680. PubMed ID: 37459774
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. 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]  

  • 11. A novel epileptic seizure prediction method based on synchroextracting transform and 1-dimensional convolutional neural network.
    Ra JS; Li T; YanLi
    Comput Methods Programs Biomed; 2023 Oct; 240():107678. PubMed ID: 37418802
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. 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]  

  • 14. Convolutional Neural Network Classification of Rest EEG Signals among People with Epilepsy, Psychogenic Non Epileptic Seizures and Control Subjects.
    Lo Giudice M; Ferlazzo E; Mammone N; Gasparini S; Cianci V; Pascarella A; Mammì A; Mandic D; Morabito FC; Aguglia U
    Int J Environ Res Public Health; 2022 Nov; 19(23):. PubMed ID: 36497808
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. 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]  

  • 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. Random Neural Network Based Epileptic Seizure Episode Detection Exploiting Electroencephalogram Signals.
    Shah SY; Larijani H; Gibson RM; Liarokapis D
    Sensors (Basel); 2022 Mar; 22(7):. PubMed ID: 35408080
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A channel independent generalized seizure detection method for pediatric epileptic seizures.
    Chakrabarti S; Swetapadma A; Pattnaik PK
    Comput Methods Programs Biomed; 2021 Sep; 209():106335. PubMed ID: 34390934
    [TBL] [Abstract][Full Text] [Related]  

  • 20. An approach to detect and predict epileptic seizures with high accuracy using convolutional neural networks and single-lead-ECG signal.
    Ghaempour M; Hassanli K; Abiri E
    Biomed Phys Eng Express; 2024 Feb; 10(2):. PubMed ID: 38359446
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 16.