BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

243 related articles for article (PubMed ID: 35051438)

  • 1. Theoretical and methodological analysis of EEG based seizure detection and prediction: An exhaustive review.
    Cherian R; Kanaga EG
    J Neurosci Methods; 2022 Mar; 369():109483. PubMed ID: 35051438
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Epileptic seizure detection: a comparative study between deep and traditional machine learning techniques.
    Sahu R; Dash SR; Cacha LA; Poznanski RR; Parida S
    J Integr Neurosci; 2020 Mar; 19(1):1-9. PubMed ID: 32259881
    [TBL] [Abstract][Full Text] [Related]  

  • 4. EEG-Based Epileptic Seizure Detection via Machine/Deep Learning Approaches: A Systematic Review.
    Ahmad I; Wang X; Zhu M; Wang C; Pi Y; Khan JA; Khan S; Samuel OW; Chen S; Li G
    Comput Intell Neurosci; 2022; 2022():6486570. PubMed ID: 35755757
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Review on Epileptic Seizure Prediction: Machine Learning and Deep Learning Approaches.
    Natu M; Bachute M; Gite S; Kotecha K; Vidyarthi A
    Comput Math Methods Med; 2022; 2022():7751263. PubMed ID: 35096136
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A channel independent generalized seizure detection method for pediatric epileptic seizures.
    Chakrabarti S; Swetapadma A; Pattnaik PK
    Comput Methods Programs Biomed; 2021 Sep; 209():106335. PubMed ID: 34390934
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Machine learning applications in epilepsy.
    Abbasi B; Goldenholz DM
    Epilepsia; 2019 Oct; 60(10):2037-2047. PubMed ID: 31478577
    [TBL] [Abstract][Full Text] [Related]  

  • 8. An intelligent epilepsy seizure detection system using adaptive mode decomposition of EEG signals.
    Kumar G; Chander S; Almadhor A
    Phys Eng Sci Med; 2022 Mar; 45(1):261-272. PubMed ID: 35167045
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Deep-learning-based seizure detection and prediction from electroencephalography signals.
    Ibrahim FE; Emara HM; El-Shafai W; Elwekeil M; Rihan M; Eldokany IM; Taha TE; El-Fishawy AS; El-Rabaie EM; Abdellatef E; Abd El-Samie FE
    Int J Numer Method Biomed Eng; 2022 Jun; 38(6):e3573. PubMed ID: 35077027
    [TBL] [Abstract][Full Text] [Related]  

  • 10. fNIRS improves seizure detection in multimodal EEG-fNIRS recordings.
    Sirpal P; Kassab A; Pouliot P; Nguyen DK; Lesage F
    J Biomed Opt; 2019 Feb; 24(5):1-9. PubMed ID: 30734544
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Unsupervised automatic seizure detection for focal-onset seizures recorded with behind-the-ear EEG using an anomaly-detecting generative adversarial network.
    You S; Cho BH; Yook S; Kim JY; Shon YM; Seo DW; Kim IY
    Comput Methods Programs Biomed; 2020 Sep; 193():105472. PubMed ID: 32344271
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Automated seizure prediction.
    Acharya UR; Hagiwara Y; Adeli H
    Epilepsy Behav; 2018 Nov; 88():251-261. PubMed ID: 30317059
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Detection of Epileptic Seizure Using Pretrained Deep Convolutional Neural Network and Transfer Learning.
    Nogay HS; Adeli H
    Eur Neurol; 2020; 83(6):602-614. PubMed ID: 33423031
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Epileptic seizure detection by using interpretable machine learning models.
    Zhao X; Yoshida N; Ueda T; Sugano H; Tanaka T
    J Neural Eng; 2023 Feb; 20(1):. PubMed ID: 36603215
    [No Abstract]   [Full Text] [Related]  

  • 15. [Research progress of epileptic seizure predictions based on electroencephalogram signals].
    Han C; Peng F; Chen C; Li W; Zhang X; Wang X; Zhou W
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2021 Dec; 38(6):1193-1202. PubMed ID: 34970903
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Performance analysis of EEG seizure detection features.
    Niknazar H; Mousavi SR; Niknazar M; Mardanlou V; Coelho BN
    Epilepsy Res; 2020 Nov; 167():106483. PubMed ID: 33049435
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A Multi-View Deep Learning Framework for EEG Seizure Detection.
    Yuan Y; Xun G; Jia K; Zhang A
    IEEE J Biomed Health Inform; 2019 Jan; 23(1):83-94. PubMed ID: 30624207
    [TBL] [Abstract][Full Text] [Related]  

  • 18. An overview of machine learning and deep learning techniques for predicting epileptic seizures.
    Zurdo-Tabernero M; Canal-Alonso Á; de la Prieta F; Rodríguez S; Prieto J; Corchado JM
    J Integr Bioinform; 2023 Dec; 20(4):. PubMed ID: 38099461
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Early prediction of epileptic seizures using a long-term recurrent convolutional network.
    Wei X; Zhou L; Zhang Z; Chen Z; Zhou Y
    J Neurosci Methods; 2019 Nov; 327():108395. PubMed ID: 31408651
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Semi-supervised automatic seizure detection using personalized anomaly detecting variational autoencoder with behind-the-ear EEG.
    You S; Hwan Cho B; Shon YM; Seo DW; Kim IY
    Comput Methods Programs Biomed; 2022 Jan; 213():106542. PubMed ID: 34839270
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 13.