EPILEPSY DETECTION USING DETRENDED FLUCTUATION ANALYSIS

被引:7
|
作者
Shalbaf, Reza [1 ]
Hosseini, Pegah Tayaranian [2 ]
Analoui, Morteza [3 ]
机构
[1] Iran Univ Sci & Technol, Dept Elect Engn, Tehran, Iran
[2] Amirkabir Univ Technol, Dept Biomed Engn, Tehran, Iran
[3] Iran Univ Sci & Technol, Dept Comp Engn, Tehran, Iran
关键词
Detrended fluctuation analysis; linear discriminant analysis; standard deviation; seizure detection; EEG; CLASSIFICATION;
D O I
10.1109/ICWAPR.2009.5207454
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Epilepsy is a disorder of the central nervous system characterized by the loss of consciousness and convulsions. If some early warning signal of an upcoming seizure (diagnosis of preictal period) could be detected, proper treatment could be applied to the patient to help prevent the seizure. In (his article, Detrended Fluctuation Analysis (DFA) has been introduced and used to extract the DFA feature from EEG signal. DFA is a scaling analysis method that provides a simple quantitative parameter to represent the correlation properties of a signal. Using this feature along with Standard Deviation of EEG signal, we come to 100% separation of Normal, Preictal, and Ictal states of the brain.
引用
下载
收藏
页码:235 / +
页数:2
相关论文
共 50 条
  • [1] Epilepsy Detection Using Empirical Mode Decomposition and Detrended Fluctuation Analysis
    Mert, Ahmet
    Akan, Aydin
    2015 23RD SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU), 2015, : 895 - 898
  • [2] Detrended fluctuation analysis in the presurgical evaluation of epilepsy patients
    Auno, S.
    Nevalainen, P.
    Vanhanen, J.
    Wilenius, J.
    Peltola, M.
    Palva, J. M.
    Lauronen, L.
    EPILEPSIA, 2023, 64 : 247 - 247
  • [3] Detection of crossover points in detrended fluctuation analysis: an application to EEG signals of patients with epilepsy
    Mesquita, Victor Barreto
    Oliveira Filho, Florencio Mendes
    Rodrigues, Paulo Canas
    BIOINFORMATICS, 2021, 37 (09) : 1278 - 1284
  • [4] Detrended fluctuation analysis using orthogonal polynomials
    Govindan, R. B.
    PHYSICAL REVIEW E, 2020, 101 (01)
  • [5] Detrended fluctuation analysis in the presurgical evaluation of parietal lobe epilepsy patients
    Auno, Sami
    Lauronen, Leena
    Wilenius, Juha
    Peltola, Maria
    Vanhatalo, Sampsa
    Palva, J. Matias
    CLINICAL NEUROPHYSIOLOGY, 2021, 132 (07) : 1515 - 1525
  • [6] Damage detection of structures with detrended fluctuation and detrended crosscorrelation analyses
    Lin, Tzu-Kang
    Fajri, Haikal
    SMART MATERIALS AND STRUCTURES, 2017, 26 (03)
  • [7] Monitoring the Depth of Anaesthesia using Detrended Fluctuation Analysis
    Li, Xiaoou
    Wang, Feng
    Wu, Guilong
    2015 INTERNATIONAL SYMPOSIUM ON BIOELECTRONICS AND BIOINFORMATICS (ISBB), 2015, : 11 - 14
  • [8] Detection of crossover time scales in multifractal detrended fluctuation analysis
    Erjia Ge
    Yee Leung
    Journal of Geographical Systems, 2013, 15 : 115 - 147
  • [9] Accurate classification of epilepsy seizure types using wavelet packet decomposition and local detrended fluctuation analysis
    Tang, Lihan
    Zhao, Menglian
    Wu, Xiaobo
    ELECTRONICS LETTERS, 2020, 56 (17) : 861 - 862
  • [10] Detection of crossover time scales in multifractal detrended fluctuation analysis
    Ge, Erjia
    Leung, Yee
    JOURNAL OF GEOGRAPHICAL SYSTEMS, 2013, 15 (02) : 115 - 147