Pattern recognition of epileptic EEG graphoelements with adaptive segmentation, supervised and unsupervised learning algorithms

被引:0
|
作者
Krajca, Vladimir [1 ]
Hozman, Jiri [1 ]
Mohylova, Jitka [2 ]
Petranek, Svojmil [3 ]
机构
[1] Czech Tech Univ, Fac Biomed Engn, Prague, Czech Republic
[2] VSB Tech Univ Ostrava, Fac Elect Engn & Comp Sci, Ostrava, Czech Republic
[3] Hosp Bulovce, Dept Neurol, Prague, Czech Republic
关键词
D O I
10.1515/bmt-2012-4219
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
引用
收藏
页码:100 / 100
页数:1
相关论文
共 50 条
  • [1] Optimal Parameters of Adaptive Segmentation for Epileptic Graphoelements Recognition
    Kala, David
    Krajca, Vladimir
    Schaabova, Hana
    Lhotska, Lenka
    Gerla, Vaclav
    [J]. RADIOENGINEERING, 2017, 26 (01) : 323 - 329
  • [2] Supervised Learning Used in Automatic EEG Graphoelements Classification
    Schaabova, Hana
    Krajca, Vladimir
    Sedlmajerova, Vaclava
    Bukhtaieva, Olena
    Petranek, Svojmil
    [J]. 2015 E-HEALTH AND BIOENGINEERING CONFERENCE (EHB), 2015,
  • [3] PATTERN-RECOGNITION OF EEG BY ADAPTIVE SEGMENTATION
    PRAETORIUS, HM
    BODENSTEIN, G
    [J]. ELECTROENCEPHALOGRAPHY AND CLINICAL NEUROPHYSIOLOGY, 1976, 41 (06): : 660 - 660
  • [4] A COMPARISON OF POSTURE RECOGNITION USING SUPERVISED AND UNSUPERVISED LEARNING ALGORITHMS
    Kiran, Maleeha
    Chan, Chee Seng
    Lai, Weng Kin
    Ali, Kyaw Kyaw Hitke
    Khalifa, Othman
    [J]. PROCEEDINGS OF THE 24TH EUROPEAN CONFERENCE ON MODELLING AND SIMULATION ECMS 2010, 2010, : 226 - +
  • [5] Combining Supervised and Unsupervised Learning Algorithms for Human Activity Recognition
    Budisteanu, Elena-Alexandra
    Mocanu, Irina Georgiana
    [J]. SENSORS, 2021, 21 (18)
  • [6] Comparison Machine Learning Algorithms for Recognition of Epileptic Seizures in EEG
    Karlik, Bekir
    Hayta, Sengul Bayrak
    [J]. PROCEEDINGS IWBBIO 2014: INTERNATIONAL WORK-CONFERENCE ON BIOINFORMATICS AND BIOMEDICAL ENGINEERING, VOLS 1 AND 2, 2014, : 1 - 12
  • [7] Incremental supervised learning: algorithms and applications in pattern recognition
    Aida Chefrour
    [J]. Evolutionary Intelligence, 2019, 12 : 97 - 112
  • [8] Incremental supervised learning: algorithms and applications in pattern recognition
    Chefrour, Aida
    [J]. EVOLUTIONARY INTELLIGENCE, 2019, 12 (02) : 97 - 112
  • [9] Investigation of Epileptic Seizure Signatures Classification in EEG using Supervised Machine Learning Algorithms
    Al-jumaili, Saif
    Duru, Adil Deniz
    Ibrahim, Abdullahi Abdu
    Ucan, Osman Nuri
    [J]. TRAITEMENT DU SIGNAL, 2023, 40 (01) : 43 - 54
  • [10] A review of supervised and unsupervised pattern recognition in archaeometry
    Baxter, M. J.
    [J]. ARCHAEOMETRY, 2006, 48 : 671 - 694