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 *

227 related articles for article (PubMed ID: 28484720)

  • 1. EEG-Based Computer Aided Diagnosis of Autism Spectrum Disorder Using Wavelet, Entropy, and ANN.
    Djemal R; AlSharabi K; Ibrahim S; Alsuwailem A
    Biomed Res Int; 2017; 2017():9816591. PubMed ID: 28484720
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Computer-aided diagnosis of autism spectrum disorder from EEG signals using deep learning with FAWT and multiscale permutation entropy features.
    Chawla P; Rana SB; Kaur H; Singh K
    Proc Inst Mech Eng H; 2023 Feb; 237(2):282-294. PubMed ID: 36515392
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A spectrogram image based intelligent technique for automatic detection of autism spectrum disorder from EEG.
    Tawhid MNA; Siuly S; Wang H; Whittaker F; Wang K; Zhang Y
    PLoS One; 2021; 16(6):e0253094. PubMed ID: 34170979
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Diagnosis of autism through EEG processed by advanced computational algorithms: A pilot study.
    Grossi E; Olivieri C; Buscema M
    Comput Methods Programs Biomed; 2017 Apr; 142():73-79. PubMed ID: 28325448
    [TBL] [Abstract][Full Text] [Related]  

  • 6. EEG entropy analysis in autistic children.
    Kang J; Chen H; Li X; Li X
    J Clin Neurosci; 2019 Apr; 62():199-206. PubMed ID: 30503641
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. EEG-based multi-feature fusion assessment for autism.
    Kang J; Zhou T; Han J; Li X
    J Clin Neurosci; 2018 Oct; 56():101-107. PubMed ID: 30318070
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Automated identification for autism severity level: EEG analysis using empirical mode decomposition and second order difference plot.
    Hadoush H; Alafeef M; Abdulhay E
    Behav Brain Res; 2019 Apr; 362():240-248. PubMed ID: 30641159
    [TBL] [Abstract][Full Text] [Related]  

  • 10. [Epileptic EEG signal classification based on wavelet packet transform and multivariate multiscale entropy].
    Xu Y; Li X; Zhao Y
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2013 Oct; 30(5):1073-8, 1090. PubMed ID: 24459973
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Wavelet entropy for subband segmentation of EEG during injury and recovery.
    Al-Nashash HA; Paul JS; Ziai WC; Hanley DF; Thakor NV
    Ann Biomed Eng; 2003 Jun; 31(6):653-8. PubMed ID: 12797614
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. EEG signals classification of epileptic patients via feature selection and voting criteria in intelligent method.
    Ghaffari A; Ebrahimi Orimi H
    J Med Eng Technol; 2014 Apr; 38(3):146-55. PubMed ID: 24579561
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Detection of Parkinson's disease from EEG signals using discrete wavelet transform, different entropy measures, and machine learning techniques.
    Aljalal M; Aldosari SA; Molinas M; AlSharabi K; Alturki FA
    Sci Rep; 2022 Dec; 12(1):22547. PubMed ID: 36581646
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Mitigation of ocular artifacts for EEG signal using improved earth worm optimization-based neural network and lifting wavelet transform.
    Prasad DS; Chanamallu SR; Prasad KS
    Comput Methods Biomech Biomed Engin; 2021 Apr; 24(5):551-578. PubMed ID: 33245687
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. [Feature exaction and classification of autism spectrum disorder children related electroencephalographic signals based on entropy].
    Zhao J; Ding M; Tong Z; Han J; Li X; Kang J
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2019 Apr; 36(2):183-188. PubMed ID: 31016933
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Automated diagnosis of autism: in search of a mathematical marker.
    Bhat S; Acharya UR; Adeli H; Bairy GM; Adeli A
    Rev Neurosci; 2014; 25(6):851-61. PubMed ID: 25153585
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Automatic seizure detection using orthogonal matching pursuit, discrete wavelet transform, and entropy based features of EEG signals.
    Zarei A; Asl BM
    Comput Biol Med; 2021 Apr; 131():104250. PubMed ID: 33578071
    [TBL] [Abstract][Full Text] [Related]  

  • 20. EMD-based analysis of complexity with dissociated EEG amplitude and frequency information: a data-driven robust tool -for Autism diagnosis- compared to multi-scale entropy approach.
    Abdulhay E; Alafeef M; Hadoush H; Venkataraman V; Arunkumar N
    Math Biosci Eng; 2022 Mar; 19(5):5031-5054. PubMed ID: 35430852
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 12.