BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

319 related articles for article (PubMed ID: 33522458)

  • 1. Classification of Epileptic EEG Signals Using Synchrosqueezing Transform and Machine Learning.
    Cura OK; Akan A
    Int J Neural Syst; 2021 May; 31(5):2150005. PubMed ID: 33522458
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Epileptic EEG Classification by Using Time-Frequency Images for Deep Learning.
    Ozdemir MA; Cura OK; Akan A
    Int J Neural Syst; 2021 Aug; 31(8):2150026. PubMed ID: 34039254
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Classification of Epileptic and Psychogenic Nonepileptic Seizures via Time-Frequency Features of EEG Data.
    Karabiber Cura O; Akan A; Sabiha Ture H
    Int J Neural Syst; 2023 Sep; 33(9):2350045. PubMed ID: 37530675
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. A Shallow Autoencoder Framework for Epileptic Seizure Detection in EEG Signals.
    Khan GH; Khan NA; Altaf MAB; Abbasi Q
    Sensors (Basel); 2023 Apr; 23(8):. PubMed ID: 37112452
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Epileptic seizure detection in EEG signal with GModPCA and support vector machine.
    Jaiswal AK; Banka H
    Biomed Mater Eng; 2017; 28(2):141-157. PubMed ID: 28372267
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Epileptic Seizure Detection Based on Time-Frequency Images of EEG Signals Using Gaussian Mixture Model and Gray Level Co-Occurrence Matrix Features.
    Li Y; Cui W; Luo M; Li K; Wang L
    Int J Neural Syst; 2018 Sep; 28(7):1850003. PubMed ID: 29607682
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Epileptic seizure detection in EEG signal using machine learning techniques.
    Jaiswal AK; Banka H
    Australas Phys Eng Sci Med; 2018 Mar; 41(1):81-94. PubMed ID: 29264792
    [TBL] [Abstract][Full Text] [Related]  

  • 9. On the Use of Wavelet Domain and Machine Learning for the Analysis of Epileptic Seizure Detection from EEG Signals.
    Kavitha KVN; Ashok S; Imoize AL; Ojo S; Selvan KS; Ahanger TA; Alhassan M
    J Healthc Eng; 2022; 2022():8928021. PubMed ID: 35251581
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Automated diagnosis of EEG abnormalities with different classification techniques.
    Abdellatef E; Emara HM; Shoaib MR; Ibrahim FE; Elwekeil M; El-Shafai W; Taha TE; El-Fishawy AS; El-Rabaie EM; Eldokany IM; Abd El-Samie FE
    Med Biol Eng Comput; 2023 Dec; 61(12):3363-3385. PubMed ID: 37672143
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. 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]  

  • 13. 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]  

  • 14. Designing a robust feature extraction method based on optimum allocation and principal component analysis for epileptic EEG signal classification.
    Siuly S; Li Y
    Comput Methods Programs Biomed; 2015 Apr; 119(1):29-42. PubMed ID: 25704869
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Epileptic seizure detection in EEGs signals based on the weighted visibility graph entropy.
    Mohammadpoory Z; Nasrolahzadeh M; Haddadnia J
    Seizure; 2017 Aug; 50():202-208. PubMed ID: 28732281
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. Deep Learning-Based Classification of Epileptic Electroencephalography Signals Using a Concentrated Time-Frequency Approach.
    Yousif MAA; Ozturk M
    Int J Neural Syst; 2023 Dec; 33(12):2350064. PubMed ID: 37830300
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Classifying Single Channel Epileptic EEG data based on Sparse Representation using Shallow Autoencoder.
    Khan GH; Ahmad Khan N; Bin Altaf MA; Ur Rehman Abid M
    Annu Int Conf IEEE Eng Med Biol Soc; 2021 Nov; 2021():643-646. PubMed ID: 34891375
    [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. Automated Diagnosis of Epilepsy Using Key-Point-Based Local Binary Pattern of EEG Signals.
    Tiwari AK; Pachori RB; Kanhangad V; Panigrahi BK
    IEEE J Biomed Health Inform; 2017 Jul; 21(4):888-896. PubMed ID: 27416609
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 16.