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 *

270 related articles for article (PubMed ID: 26736895)

  • 1. Seizure prediction by analyzing EEG signal based on phase correlation.
    Parvez MZ; Paul M
    Annu Int Conf IEEE Eng Med Biol Soc; 2015 Aug; 2015():2888-91. PubMed ID: 26736895
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Epileptic Seizure Prediction by Exploiting Spatiotemporal Relationship of EEG Signals Using Phase Correlation.
    Parvez MZ; Paul M
    IEEE Trans Neural Syst Rehabil Eng; 2016 Jan; 24(1):158-68. PubMed ID: 26208360
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. Automatic classification of seizure and seizure-free EEG signals based on phase space reconstruction features.
    Skaria S; Savithriamma SK
    J Biol Phys; 2024 Jun; 50(2):181-196. PubMed ID: 38466526
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Seizure Prediction Using Undulated Global and Local Features.
    Parvez MZ; Paul M
    IEEE Trans Biomed Eng; 2017 Jan; 64(1):208-217. PubMed ID: 27093309
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Nonlinear analysis and recognition of epileptic EEG signals in different stages.
    Lu X; Zhang J; Huang S; Wang T; Wang M; Ye M
    J Neurophysiol; 2024 Sep; 132(3):685-694. PubMed ID: 38985939
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Prediction of epileptic seizures from EEG using analysis of ictal rules on Poincaré plane.
    Sharif B; Jafari AH
    Comput Methods Programs Biomed; 2017 Jul; 145():11-22. PubMed ID: 28552116
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A strategy combining intrinsic time-scale decomposition and a feedforward neural network for automatic seizure detection.
    Yang L; Ding S; Zhou HM; Yang X
    Physiol Meas; 2019 Sep; 40(9):095004. PubMed ID: 31443095
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Using scalp EEG and intracranial EEG signals for predicting epileptic seizures: Review of available methodologies.
    Usman SM; Khalid S; Akhtar R; Bortolotto Z; Bashir Z; Qiu H
    Seizure; 2019 Oct; 71():258-269. PubMed ID: 31479850
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. Epileptic State Classification based on Intrinsic Mode Function and Wavelet Packet Decomposition.
    Hu D; Cao J; Lai X; Liu J
    Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():2382-2385. PubMed ID: 31946379
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Early prediction of epileptic seizures using a long-term recurrent convolutional network.
    Wei X; Zhou L; Zhang Z; Chen Z; Zhou Y
    J Neurosci Methods; 2019 Nov; 327():108395. PubMed ID: 31408651
    [TBL] [Abstract][Full Text] [Related]  

  • 13. EEG source imaging of epileptic activity at seizure onset.
    Kuo CC; Tucker DM; Luu P; Jenson K; Tsai JJ; Ojemann JG; Holmes MD
    Epilepsy Res; 2018 Oct; 146():160-171. PubMed ID: 30189370
    [TBL] [Abstract][Full Text] [Related]  

  • 14. An Epileptic Seizure Prediction Method Based on CBAM-3D CNN-LSTM Model.
    Lu X; Wen A; Sun L; Wang H; Guo Y; Ren Y
    IEEE J Transl Eng Health Med; 2023; 11():417-423. PubMed ID: 37426305
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Predicting epileptic seizures from scalp EEG based on attractor state analysis.
    Chu H; Chung CK; Jeong W; Cho KH
    Comput Methods Programs Biomed; 2017 May; 143():75-87. PubMed ID: 28391821
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Epileptic seizure detection in EEG signals using tunable-Q factor wavelet transform and bootstrap aggregating.
    Hassan AR; Siuly S; Zhang Y
    Comput Methods Programs Biomed; 2016 Dec; 137():247-259. PubMed ID: 28110729
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. 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]  

  • 19. Integration of 24 Feature Types to Accurately Detect and Predict Seizures Using Scalp EEG Signals.
    Zhang Y; Yang S; Liu Y; Zhang Y; Han B; Zhou F
    Sensors (Basel); 2018 Apr; 18(5):. PubMed ID: 29710763
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 14.