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 *

152 related articles for article (PubMed ID: 38117429)

  • 1. Driving fatigue detection based on brain source activity and ARMA model.
    Nadalizadeh F; Rajabioun M; Feyzi A
    Med Biol Eng Comput; 2024 Apr; 62(4):1017-1030. PubMed ID: 38117429
    [TBL] [Abstract][Full Text] [Related]  

  • 2. K-complexes Detection in EEG Signals using Fractal and Frequency Features Coupled with an Ensemble Classification Model.
    Al-Salman W; Li Y; Wen P
    Neuroscience; 2019 Dec; 422():119-133. PubMed ID: 31682947
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. 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]  

  • 5. Estimation of effective brain connectivity with dual Kalman filter and EEG source localization methods.
    Rajabioun M; Nasrabadi AM; Shamsollahi MB
    Australas Phys Eng Sci Med; 2017 Sep; 40(3):675-686. PubMed ID: 28852979
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Feature extraction of EEG signals based on functional data analysis and its application to recognition of driver fatigue state.
    Shangguan P; Qiu T; Liu T; Zou S; Liu Z; Zhang S
    Physiol Meas; 2021 Jan; 41(12):125004. PubMed ID: 33126235
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. Application of Graph Neural Network in Driving Fatigue Detection Based on EEG Signals.
    Mu Z; Jin L; Yin J; Wang Q
    Comput Intell Neurosci; 2022; 2022():9775784. PubMed ID: 36052050
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Research on driving fatigue detection based on basic scale entropy and MVAR-PSI.
    Wang F; Kang X; Fu R; Lu B
    Biomed Phys Eng Express; 2022 Jul; 8(5):. PubMed ID: 35788110
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. Feature extraction and classification for EEG signals using wavelet transform and machine learning techniques.
    Amin HU; Malik AS; Ahmad RF; Badruddin N; Kamel N; Hussain M; Chooi WT
    Australas Phys Eng Sci Med; 2015 Mar; 38(1):139-49. PubMed ID: 25649845
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Mobile healthcare for automatic driving sleep-onset detection using wavelet-based EEG and respiration signals.
    Lee BG; Lee BL; Chung WY
    Sensors (Basel); 2014 Sep; 14(10):17915-36. PubMed ID: 25264954
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Assessment of driver drowsiness using electroencephalogram signals based on multiple functional brain networks.
    Chen J; Wang H; Hua C
    Int J Psychophysiol; 2018 Nov; 133():120-130. PubMed ID: 30081067
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Detection of k-complexes in EEG signals using a multi-domain feature extraction coupled with a least square support vector machine classifier.
    Al-Salman W; Li Y; Wen P
    Neurosci Res; 2021 Nov; 172():26-40. PubMed ID: 33965451
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. An empirical comparison of machine learning algorithms for the classification of brain signals to assess the impact of combined yoga and Sudarshan Kriya.
    Sharma H; Raj R; Juneja M
    Comput Methods Biomech Biomed Engin; 2022 May; 25(7):721-728. PubMed ID: 34866497
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A flexible analytic wavelet transform based approach for motor-imagery tasks classification in BCI applications.
    Chaudhary S; Taran S; Bajaj V; Siuly S
    Comput Methods Programs Biomed; 2020 Apr; 187():105325. PubMed ID: 31964514
    [TBL] [Abstract][Full Text] [Related]  

  • 18. VR motion sickness recognition by using EEG rhythm energy ratio based on wavelet packet transform.
    Li X; Zhu C; Xu C; Zhu J; Li Y; Wu S
    Comput Methods Programs Biomed; 2020 May; 188():105266. PubMed ID: 31865095
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Classification of EEG Signals Based on Pattern Recognition Approach.
    Amin HU; Mumtaz W; Subhani AR; Saad MNM; Malik AS
    Front Comput Neurosci; 2017; 11():103. PubMed ID: 29209190
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Exploring the fatigue affecting electroencephalography based functional brain networks during real driving in young males.
    Chen J; Wang H; Wang Q; Hua C
    Neuropsychologia; 2019 Jun; 129():200-211. PubMed ID: 30995455
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.