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Similarity analysis of EEG data based on self organizing map neural network

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F14%3A86092915" target="_blank" >RIV/61989100:27240/14:86092915 - isvavai.cz</a>

  • Alternative codes found

    RIV/61989100:27740/14:86092915

  • Result on the web

    <a href="http://advances.utc.sk/index.php/AEEE/article/view/1171" target="_blank" >http://advances.utc.sk/index.php/AEEE/article/view/1171</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.15598/aeee.v12i5.1171" target="_blank" >10.15598/aeee.v12i5.1171</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Similarity analysis of EEG data based on self organizing map neural network

  • Original language description

    The Electroencephalography (EEG) is the recording of electrical activity along the scalp. This recorded data are very complex. EEG has a big role in several applications such as in the diagnosis of human brain diseases and epilepsy. Also, we can use theEEG signals to control an external device via Brain Computer Interface (BCI) by our mind. There are many algorithms to analyse the recorded EEG data, but it still remains one of the big challenges in the world. In this article, we extended our previous proposed method. Our extended method uses Self-organizing Map (SOM) as an EEG data classifier. The proposed method we can divide in following steps: capturing EEG raw data from the sensors, applying filters on this data, we will use the frequencies in therange from 0.5 Hz to 60 Hz, smoothing the data with 15-th order of Polynomial Curve Fitting, converting filtered data into text using Turtle Graphic, Lempel-Ziv complexity for measuring similarity between two EEG data trials and Self-Org

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    JC - Computer hardware and software

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/ED1.1.00%2F02.0070" target="_blank" >ED1.1.00/02.0070: IT4Innovations Centre of Excellence</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2014

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Advances in Electrical and Electronic Engineering

  • ISSN

    1336-1376

  • e-ISSN

  • Volume of the periodical

    12

  • Issue of the periodical within the volume

    5

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    10

  • Pages from-to

    547-556

  • UT code for WoS article

  • EID of the result in the Scopus database