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 *

377 related articles for article (PubMed ID: 23662339)

  • 1. Automated diagnosis of epileptic electroencephalogram using independent component analysis and discrete wavelet transform for different electroencephalogram durations.
    Acharya UR; Yanti R; Swapna G; Sree VS; Martis RJ; Suri JS
    Proc Inst Mech Eng H; 2013 Mar; 227(3):234-44. PubMed ID: 23662339
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Automated diagnosis of epilepsy using CWT, HOS and texture parameters.
    Acharya UR; Yanti R; Zheng JW; Krishnan MM; Tan JH; Martis RJ; Lim CM
    Int J Neural Syst; 2013 Jun; 23(3):1350009. PubMed ID: 23627656
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. 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]  

  • 5. A case study on Discrete Wavelet Transform based Hurst exponent for epilepsy detection.
    Madan S; Srivastava K; Sharmila A; Mahalakshmi P
    J Med Eng Technol; 2018 Jan; 42(1):9-17. PubMed ID: 29188743
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Epileptic EEG Identification via LBP Operators on Wavelet Coefficients.
    Yuan Q; Zhou W; Xu F; Leng Y; Wei D
    Int J Neural Syst; 2018 Oct; 28(8):1850010. PubMed ID: 29665725
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Application of recurrence quantification analysis for the automated identification of epileptic EEG signals.
    Acharya UR; Sree SV; Chattopadhyay S; Yu W; Ang PC
    Int J Neural Syst; 2011 Jun; 21(3):199-211. PubMed ID: 21656923
    [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 of single-channel scalp EEG data using wavelet-based features and SVM.
    Janjarasjitt S
    Med Biol Eng Comput; 2017 Oct; 55(10):1743-1761. PubMed ID: 28194648
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Wavelet-based feature extraction for classification of epileptic seizure EEG signal.
    Sharmila A; Mahalakshmi P
    J Med Eng Technol; 2017 Nov; 41(8):670-680. PubMed ID: 29117768
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. Kernel machines for epilepsy diagnosis via EEG signal classification: a comparative study.
    Lima CA; Coelho AL
    Artif Intell Med; 2011 Oct; 53(2):83-95. PubMed ID: 21852077
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A feature extraction technique based on tunable Q-factor wavelet transform for brain signal classification.
    Al Ghayab HR; Li Y; Siuly S; Abdulla S
    J Neurosci Methods; 2019 Jan; 312():43-52. PubMed ID: 30468823
    [TBL] [Abstract][Full Text] [Related]  

  • 14. EEG Signal Analysis for Diagnosing Neurological Disorders Using Discrete Wavelet Transform and Intelligent Techniques.
    Alturki FA; AlSharabi K; Abdurraqeeb AM; Aljalal M
    Sensors (Basel); 2020 Apr; 20(9):. PubMed ID: 32354161
    [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. 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]  

  • 17. Epileptic seizure detection using DWT-based approximate entropy, Shannon entropy and support vector machine: a case study.
    Sharmila A; Aman Raj S; Shashank P; Mahalakshmi P
    J Med Eng Technol; 2018 Jan; 42(1):1-8. PubMed ID: 29251059
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. 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]  

  • 20. 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]  

    [Next]    [New Search]
    of 19.