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
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Czech description
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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