BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

114 related articles for article (PubMed ID: 37386960)

  • 1. Multi-Class Seizure Type Classification Using Features Extracted from the EEG.
    Selvaraj A; Pj S; Thomas J; Rajamanickam Y; Menon RN; Agastinose Ronickom JF
    Stud Health Technol Inform; 2023 Jun; 305():68-71. PubMed ID: 37386960
    [TBL] [Abstract][Full Text] [Related]  

  • 2. EEG based multi-class seizure type classification using convolutional neural network and transfer learning.
    Raghu S; Sriraam N; Temel Y; Rao SV; Kubben PL
    Neural Netw; 2020 Apr; 124():202-212. PubMed ID: 32018158
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Optimization of Pre-Ictal Interval Time Period for Epileptic Seizure Prediction Using Temporal and Frequency Features.
    Shaik Gadda AA; Vedantham D; Thomas J; Rajamanickam Y; Menon RN; Agastinose Ronickom JF
    Stud Health Technol Inform; 2023 May; 302():232-236. PubMed ID: 37203653
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. Accurate detection of spontaneous seizures using a generalized linear model with external validation.
    Fumeaux NF; Ebrahim S; Coughlin BF; Kadambi A; Azmi A; Xu JX; Abou Jaoude M; Nagaraj SB; Thomson KE; Newell TG; Metcalf CS; Wilcox KS; Kimchi EY; Moraes MFD; Cash SS
    Epilepsia; 2020 Sep; 61(9):1906-1918. PubMed ID: 32761902
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Electromyography-based seizure detector: Preliminary results comparing a generalized tonic-clonic seizure detection algorithm to video-EEG recordings.
    Szabó CÁ; Morgan LC; Karkar KM; Leary LD; Lie OV; Girouard M; Cavazos JE
    Epilepsia; 2015 Sep; 56(9):1432-7. PubMed ID: 26190150
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A Novel Approach for Multichannel Epileptic Seizure Classification Based on Internet of Things Framework Using Critical Spectral Verge Feature Derived from Flower Pollination Algorithm.
    Yedurkar DP; Metkar SP; Al-Turjman F; Stephan T; Kolhar M; Altrjman C
    Sensors (Basel); 2022 Nov; 22(23):. PubMed ID: 36502005
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Deep Multi-View Feature Learning for EEG-Based Epileptic Seizure Detection.
    Tian X; Deng Z; Ying W; Choi KS; Wu D; Qin B; Wang J; Shen H; Wang S
    IEEE Trans Neural Syst Rehabil Eng; 2019 Oct; 27(10):1962-1972. PubMed ID: 31514144
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Seizure Type Classification Using EEG Based on Gramian Angular Field Transformation and Deep Learning.
    Shankar A; Dandapat S; Barma S
    Annu Int Conf IEEE Eng Med Biol Soc; 2021 Nov; 2021():3340-3343. PubMed ID: 34891955
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Epileptic Seizure Detection with EEG Textural Features and Imbalanced Classification Based on EasyEnsemble Learning.
    Sun C; Cui H; Zhou W; Nie W; Wang X; Yuan Q
    Int J Neural Syst; 2019 Dec; 29(10):1950021. PubMed ID: 31505978
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Seizure detection: an assessment of time- and frequency-based features in a unified two-dimensional decisional space using nonlinear decision functions.
    Tito M; Cabrerizo M; Ayala M; Jayakar P; Adjouadi M
    J Clin Neurophysiol; 2009 Dec; 26(6):381-91. PubMed ID: 19952562
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Epileptic Seizure Prediction Based on Hybrid Seek Optimization Tuned Ensemble Classifier Using EEG Signals.
    Kapoor B; Nagpal B; Jain PK; Abraham A; Gabralla LA
    Sensors (Basel); 2022 Dec; 23(1):. PubMed ID: 36617019
    [TBL] [Abstract][Full Text] [Related]  

  • 13. An automated detection of epileptic seizures EEG using CNN classifier based on feature fusion with high accuracy.
    Chen W; Wang Y; Ren Y; Jiang H; Du G; Zhang J; Li J
    BMC Med Inform Decis Mak; 2023 May; 23(1):96. PubMed ID: 37217878
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. Incorporating feature selection methods into a machine learning-based neonatal seizure diagnosis.
    Açıkoğlu M; Tuncer SA
    Med Hypotheses; 2020 Feb; 135():109464. PubMed ID: 31731060
    [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. Patient-specific seizure detection in long-term EEG using signal-derived empirical mode decomposition (EMD)-based dictionary approach.
    Kaleem M; Gurve D; Guergachi A; Krishnan S
    J Neural Eng; 2018 Oct; 15(5):056004. PubMed ID: 29937449
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Epileptic Seizure Classification of EEGs Using Time-Frequency Analysis Based Multiscale Radial Basis Functions.
    Li Y; Wang XD; Luo ML; Li K; Yang XF; Guo Q
    IEEE J Biomed Health Inform; 2018 Mar; 22(2):386-397. PubMed ID: 28362595
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A convolutional neural network based framework for classification of seizure types.
    Raghu ; Sriraam N; Temel Y; Rao SV; Kubben PL
    Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():2547-2550. PubMed ID: 31946416
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Development and validation of machine learning models for prediction of seizure outcome after pediatric epilepsy surgery.
    Yossofzai O; Fallah A; Maniquis C; Wang S; Ragheb J; Weil AG; Brunette-Clement T; Andrade A; Ibrahim GM; Mitsakakis N; Widjaja E
    Epilepsia; 2022 Aug; 63(8):1956-1969. PubMed ID: 35661152
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.