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 *

141 related articles for article (PubMed ID: 36120401)

  • 1. Detection of ADHD From EOG Signals Using Approximate Entropy and Petrosain's Fractal Dimension.
    Sho'ouri N
    J Med Signals Sens; 2022; 12(3):254-262. PubMed ID: 36120401
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Functional brain dynamic analysis of ADHD and control children using nonlinear dynamical features of EEG signals.
    Khoshnoud S; Nazari MA; Shamsi M
    J Integr Neurosci; 2018 Aug; 17(1):11-17. PubMed ID: 29172003
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Automated and ERP-Based Diagnosis of Attention-Deficit Hyperactivity Disorder in Children.
    Jahanshahloo HR; Shamsi M; Ghasemi E; Kouhi A
    J Med Signals Sens; 2017; 7(1):26-32. PubMed ID: 28487830
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Diagnosis of attention-deficit hyperactivity disorder using EOG signals: a new approach.
    Latifoğlu F; Esas MY; Demirci E
    Biomed Tech (Berl); 2020 Apr; 65(2):149-164. PubMed ID: 31661435
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Identification of Auditory Object-Specific Attention from Single-Trial Electroencephalogram Signals via Entropy Measures and Machine Learning.
    Lu Y; Wang M; Zhang Q; Han Y
    Entropy (Basel); 2018 May; 20(5):. PubMed ID: 33265476
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Sleep stage classification using single-channel EOG.
    Rahman MM; Bhuiyan MIH; Hassan AR
    Comput Biol Med; 2018 Nov; 102():211-220. PubMed ID: 30170769
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Automated classification of attention deficit hyperactivity disorder and conduct disorder using entropy features with ECG signals.
    Koh JEW; Ooi CP; Lim-Ashworth NS; Vicnesh J; Tor HT; Lih OS; Tan RS; Acharya UR; Fung DSS
    Comput Biol Med; 2022 Jan; 140():105120. PubMed ID: 34896884
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Usefulness of approximate entropy in the diagnosis of schizophrenia.
    Taghavi M; Boostani R; Sabeti M; Taghavi SM
    Iran J Psychiatry Behav Sci; 2011; 5(2):62-70. PubMed ID: 24644448
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Effects of spectral features of EEG signals recorded with different channels and recording statuses on ADHD classification with deep learning.
    Tosun M
    Phys Eng Sci Med; 2021 Sep; 44(3):693-702. PubMed ID: 34043150
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Entropy-Based Quantitative Electroencephalogram Analysis for Diagnosing Attention-Deficit Hyperactivity Disorder in Girls.
    Chow JC; Ouyang CS; Tsai CL; Chiang CT; Yang RC; Wu RC; Wu HC; Lin LC
    Clin EEG Neurosci; 2019 May; 50(3):172-179. PubMed ID: 30497294
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Attention Deficit Hyperactivity Disorder Diagnosis using non-linear univariate and multivariate EEG measurements: a preliminary study.
    Rezaeezadeh M; Shamekhi S; Shamsi M
    Phys Eng Sci Med; 2020 Jun; 43(2):577-592. PubMed ID: 32524443
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Detection of ADHD From EEG Signals Using Different Entropy Measures and ANN.
    Catherine Joy R; Thomas George S; Albert Rajan A; Subathra MSP
    Clin EEG Neurosci; 2022 Jan; 53(1):12-23. PubMed ID: 34424101
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Proposing an adaptive mutation to improve XCSF performance to classify ADHD and BMD patients.
    Sadatnezhad K; Boostani R; Ghanizadeh A
    J Neural Eng; 2010 Dec; 7(6):066006. PubMed ID: 21048285
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Efficient sleep classification based on entropy features and a support vector machine classifier.
    Zhang Z; Wei S; Zhu G; Liu F; Li Y; Dong X; Liu C; Liu F
    Physiol Meas; 2018 Nov; 39(11):115005. PubMed ID: 30475743
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A Robust Machine Learning Based Framework for the Automated Detection of ADHD Using Pupillometric Biomarkers and Time Series Analysis.
    Das W; Khanna S
    Sci Rep; 2021 Aug; 11(1):16370. PubMed ID: 34385511
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A novel method for EOG features extraction from the forehead.
    Cai HY; Ma JX; Shi LC; Lu BL
    Annu Int Conf IEEE Eng Med Biol Soc; 2011; 2011():3075-8. PubMed ID: 22254989
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Linear and non-linear EEG analysis of adolescents with attention-deficit/hyperactivity disorder during a cognitive task.
    Sohn H; Kim I; Lee W; Peterson BS; Hong H; Chae JH; Hong S; Jeong J
    Clin Neurophysiol; 2010 Nov; 121(11):1863-70. PubMed ID: 20659814
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Evaluation of a Quasi-fractal Dimension to Enhance Breast Cancer Detection in X-ray Mammograms using Support Vector Machine.
    Murase K; Tanki N; Miyazaki S; Nagao M
    Igaku Butsuri; 2008; 28(1):15-25. PubMed ID: 21976251
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Atypical functional connectivity during rest and task-related dynamic alteration in young children with attention deficit hyperactivity disorder: An analysis using the phase-locking value.
    Chen IC; Chang CL; Chang MH; Ko LW
    Psychiatry Clin Neurosci; 2022 Jun; 76(6):235-245. PubMed ID: 35235255
    [TBL] [Abstract][Full Text] [Related]  

  • 20. EEG-based Drowsiness Detection for Safe Driving Using Chaotic Features and Statistical Tests.
    Mardi Z; Ashtiani SN; Mikaili M
    J Med Signals Sens; 2011 May; 1(2):130-7. PubMed ID: 22606668
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.