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Real-time brain stroke detection through a learning-by-examples techniqueAn experimental assessment

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F17%3A00313271" target="_blank" >RIV/68407700:21230/17:00313271 - isvavai.cz</a>

  • Alternative codes found

    RIV/68407700:21460/17:00313271

  • Result on the web

    <a href="http://dx.doi.org/10.1002/mop.30821" target="_blank" >http://dx.doi.org/10.1002/mop.30821</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1002/mop.30821" target="_blank" >10.1002/mop.30821</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Real-time brain stroke detection through a learning-by-examples techniqueAn experimental assessment

  • Original language description

    The real-time detection of brain strokes is addressed within the Learning-by-Examples (LBE) framework. Starting from scattering measurements at microwave regime, a support vector machine (SVM) is exploited to build a robust decision function able to infer in real-time whether a stroke is present or not in the patient head. The proposed approach is validated in a laboratory-controlled environment by considering experimental measurements for both training and testing SVM phases. The obtained results prove that a very high detection accuracy can be yielded even though using a limited amount of training data.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    20201 - Electrical and electronic engineering

Result continuities

  • Project

    <a href="/en/project/GJ17-00477Y" target="_blank" >GJ17-00477Y: Physical nature of interactions of EM fields generated by MTM structures with human body and study of their prospective use in medicine</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2017

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Microwave and Optical Technology Letters

  • ISSN

    0895-2477

  • e-ISSN

    1098-2760

  • Volume of the periodical

    59

  • Issue of the periodical within the volume

    11

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    4

  • Pages from-to

    2796-2799

  • UT code for WoS article

    000408332500019

  • EID of the result in the Scopus database

    2-s2.0-85028037417