SIGNAL PROCESSING OF THE EEG: APPROACHES TAILORED TO EPILEPSY

被引：0
|
作者：
Schelter, B. [1 ]
Thiel, M. [1 ]
Mader, M. [2 ]
Mader, W. [2 ]
机构：
[1] Univ Aberdeen, ICSMB, Aberdeen AB24 3UE, Scotland
[2] Univ Freiburg, Freiburg Ctr Data Anal & Modeling, D-79104 Freiburg, Germany
来源：
RECENT ADVANCES IN PREDICTING AND PREVENTING EPILEPTIC SEIZURES | 2013年
关键词：
Epilepsy; spectral analysis; data analysis; statistical evaluation; network reconstruction;
D O I：
暂无
中图分类号：
R74 [神经病学与精神病学];
学科分类号：
摘要：
By now seizure prediction in epilepsy has a history of more than two decades. Several alternative approaches have been suggested to predict epileptic seizures. These approaches are mainly based on signal processing of electroencephalograms. In this chapter, the basic principles of signal processing geared to seizure prediction in the framework of epilepsy will be summarised and discussed.
引用
收藏
页码：119 / 131
页数：13
相关论文
共 50 条
  • [1] EEG Brain Signal Processing for Epilepsy Detection
    Jain, Shruti
    Paul, Sudip
    Sharma, Kshitij
    RECENT ADVANCES IN ELECTRICAL & ELECTRONIC ENGINEERING, 2023, 16 (07) : 709 - 716
  • [2] ICA Decomposition of EEG signal for fMRI Processing in Epilepsy
    Marques, Jose P.
    Rebola, Jose
    Figueiredo, Patricia
    Pinto, Alda
    Sales, Francisco
    Castelo-Branco, Miguel
    HUMAN BRAIN MAPPING, 2009, 30 (09) : 2986 - 2996
  • [3] Electroencephalography (EEG) signal processing for epilepsy and autism spectrum disorder diagnosis
    Ibrahim, Sutrisno
    Djemal, Ridha
    Alsuwailem, Abdullah
    BIOCYBERNETICS AND BIOMEDICAL ENGINEERING, 2018, 38 (01) : 16 - 26
  • [4] A new Cellular Nonlinear Network emulation on FPGA for EEG signal processing in epilepsy
    Mueller, Jens
    Mueller, Jan
    Tetzlaff, Ronald
    BIOELECTRONICS, BIOMEDICAL, AND BIOINSPIRED SYSTEMS V AND NANOTECHNOLOGY V, 2011, 8068
  • [5] EEG Signal Processing: Applying Deep Learning Methods to Identify and Classify Epilepsy Episodes
    Suciu, George
    Ditu, Maria-Cristina
    FUTURE ACCESS ENABLERS FOR UBIQUITOUS AND INTELLIGENT INFRASTRUCTURES, FABULOUS 2019, 2019, 283 : 59 - 66
  • [6] Quantitative approaches to guide epilepsy surgery from intracranial EEG
    Bernabei, John M.
    Li, Adam
    Revell, Andrew Y.
    Smith, Rachel J.
    Gunnarsdottir, Kristin M.
    Ong, Ian Z.
    Davis, Kathryn A.
    Sinha, Nishant
    Sarma, Sridevi
    Litt, Brian
    BRAIN, 2023, 146 (06) : 2248 - 2258
  • [7] Epilepsy Detection in EEG Signal Using Recurrent Neural Network
    Aliyu, Ibrahim
    Lim, Yong Beom
    Lim, Chang Gyoon
    2019 3RD INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS, METAHEURISTICS & SWARM INTELLIGENCE (ISMSI 2019), 2019, : 50 - 53
  • [8] Exploring the Merit of Collaboration in Classification and Compression of Epilepsy EEG Signal
    Ahmad, Rushda Basir
    Khan, Nadeem Ahmad
    PROCEEDINGS OF THE 13TH INTERNATIONAL JOINT CONFERENCE ON BIOMEDICAL ENGINEERING SYSTEMS AND TECHNOLOGIES, VOL 4: BIOSIGNALS, 2020, : 23 - 29
  • [9] Computation of Brain Functional Connectivity Network Measures in Epilepsy: A Web Based Platform for EEG Signal Data Processing and Analysis
    Socrates, Vimig
    Gershon, Arthur
    Sahoo, Satya S.
    MEDINFO 2019: HEALTH AND WELLBEING E-NETWORKS FOR ALL, 2019, 264 : 1590 - 1591
  • [10] Implementation of Signal Processing Algorithms on Epileptic EEG Signals
    Gurumoorthy, Sasikumar
    Muppalaneni, Naresh Babu
    Sekhar, G. Chandra
    Kumari, G. Sandhya
    EMERGING RESEARCH IN DATA ENGINEERING SYSTEMS AND COMPUTER COMMUNICATIONS, CCODE 2019, 2020, 1054 : 367 - 376
12345