BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

189 related articles for article (PubMed ID: 29795031)

  • 21. 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]  

  • 22. The detection of epileptic seizure signals based on fuzzy entropy.
    Xiang J; Li C; Li H; Cao R; Wang B; Han X; Chen J
    J Neurosci Methods; 2015 Mar; 243():18-25. PubMed ID: 25614384
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Seizure prediction based on classification of EEG synchronization patterns with on-line retraining and post-processing scheme.
    Chiang CY; Chang NF; Chen TC; Chen HH; Chen LG
    Annu Int Conf IEEE Eng Med Biol Soc; 2011; 2011():7564-9. PubMed ID: 22256089
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Random ensemble learning for EEG classification.
    Hosseini MP; Pompili D; Elisevich K; Soltanian-Zadeh H
    Artif Intell Med; 2018 Jan; 84():146-158. PubMed ID: 29306539
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Evaluation of Feature Selection Methods for Classification of Epileptic Seizure EEG Signals.
    Sánchez-Hernández SE; Salido-Ruiz RA; Torres-Ramos S; Román-Godínez I
    Sensors (Basel); 2022 Apr; 22(8):. PubMed ID: 35459052
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Classifying epileptic EEG signals with delay permutation entropy and Multi-Scale K-means.
    Zhu G; Li Y; Wen PP; Wang S
    Adv Exp Med Biol; 2015; 823():143-57. PubMed ID: 25381106
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Optimal training dataset composition for SVM-based, age-independent, automated epileptic seizure detection.
    Bogaarts JG; Gommer ED; Hilkman DM; van Kranen-Mastenbroek VH; Reulen JP
    Med Biol Eng Comput; 2016 Aug; 54(8):1285-93. PubMed ID: 27032931
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Epilepsyecosystem.org: crowd-sourcing reproducible seizure prediction with long-term human intracranial EEG.
    Kuhlmann L; Karoly P; Freestone DR; Brinkmann BH; Temko A; Barachant A; Li F; Titericz G; Lang BW; Lavery D; Roman K; Broadhead D; Dobson S; Jones G; Tang Q; Ivanenko I; Panichev O; Proix T; Náhlík M; Grunberg DB; Reuben C; Worrell G; Litt B; Liley DTJ; Grayden DB; Cook MJ
    Brain; 2018 Sep; 141(9):2619-2630. PubMed ID: 30101347
    [TBL] [Abstract][Full Text] [Related]  

  • 29. VLSI Design of SVM-Based Seizure Detection System With On-Chip Learning Capability.
    Feng L; Li Z; Wang Y
    IEEE Trans Biomed Circuits Syst; 2018 Feb; 12(1):171-181. PubMed ID: 29377805
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Non-invasive wearable seizure detection using long-short-term memory networks with transfer learning.
    Nasseri M; Pal Attia T; Joseph B; Gregg NM; Nurse ES; Viana PF; Schulze-Bonhage A; Dümpelmann M; Worrell G; Freestone DR; Richardson MP; Brinkmann BH
    J Neural Eng; 2021 Apr; 18(5):. PubMed ID: 33730713
    [No Abstract]   [Full Text] [Related]  

  • 31. Machine learning and wearable devices of the future.
    Beniczky S; Karoly P; Nurse E; Ryvlin P; Cook M
    Epilepsia; 2021 Mar; 62 Suppl 2():S116-S124. PubMed ID: 32712958
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Application of higher order spectra to identify epileptic EEG.
    Chua KC; Chandran V; Acharya UR; Lim CM
    J Med Syst; 2011 Dec; 35(6):1563-71. PubMed ID: 20703761
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Epileptic seizure classification of EEG time-series using rational discrete short-time fourier transform.
    Samiee K; Kovács P; Gabbouj M
    IEEE Trans Biomed Eng; 2015 Feb; 62(2):541-52. PubMed ID: 25265603
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Optimizing Electrode Configurations for Wearable EEG Seizure Detection Using Machine Learning.
    Gelbard-Sagiv H; Pardo S; Getter N; Guendelman M; Benninger F; Kraus D; Shriki O; Ben-Sasson S
    Sensors (Basel); 2023 Jun; 23(13):. PubMed ID: 37447653
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Comparative analysis of classifiers for developing an adaptive computer-assisted EEG analysis system for diagnosing epilepsy.
    Ahmad MA; Ayaz Y; Jamil M; Omer Gillani S; Rasheed MB; Imran M; Khan NA; Majeed W; Javaid N
    Biomed Res Int; 2015; 2015():638036. PubMed ID: 25834822
    [TBL] [Abstract][Full Text] [Related]  

  • 36. A general sample-weighted framework for epileptic seizure prediction.
    Gao Y; Liu A; Cui X; Qian R; Chen X
    Comput Biol Med; 2022 Nov; 150():106169. PubMed ID: 36252368
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Machine learning seizure prediction: one problematic but accepted practice.
    West J; Dasht Bozorgi Z; Herron J; Chizeck HJ; Chambers JD; Li L
    J Neural Eng; 2023 Jan; 20(1):. PubMed ID: 36548993
    [No Abstract]   [Full Text] [Related]  

  • 38. EEG epilepsy seizure prediction: the post-processing stage as a chronology.
    Batista J; Pinto MF; Tavares M; Lopes F; Oliveira A; Teixeira C
    Sci Rep; 2024 Jan; 14(1):407. PubMed ID: 38172583
    [TBL] [Abstract][Full Text] [Related]  

  • 39. 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]  

  • 40. Visibility Graph from Adaptive Optimal Kernel Time-Frequency Representation for Classification of Epileptiform EEG.
    Gao ZK; Cai Q; Yang YX; Dong N; Zhang SS
    Int J Neural Syst; 2017 Jun; 27(4):1750005. PubMed ID: 27832712
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 10.