Comparison of Smoothing Filters in Analysis of EEG Data for the Medical Diagnostics Purposes
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F20%3A10244273" target="_blank" >RIV/61989100:27240/20:10244273 - isvavai.cz</a>
Result on the web
<a href="https://www.mdpi.com/1424-8220/20/3/807" target="_blank" >https://www.mdpi.com/1424-8220/20/3/807</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/s20030807" target="_blank" >10.3390/s20030807</a>
Alternative languages
Result language
angličtina
Original language name
Comparison of Smoothing Filters in Analysis of EEG Data for the Medical Diagnostics Purposes
Original language description
This paper covers a brief review of both the advantages and disadvantages of the implementation of various smoothing filters in the analysis of electroencephalography (EEG) data for the purpose of potential medical diagnostics. The EEG data are very prone to the occurrence of various internal and external artifacts and signal distortions. In this paper, three types of smoothing filters were compared: smooth filter, median filter and Savitzky-Golay filter. The authors of this paper compared those filters and proved their usefulness, as they made the analyzed data more legible for diagnostic purposes. The obtained results were promising, however, the studies on finding perfect filtering methods are still in progress.
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
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/EF16_019%2F0000867" target="_blank" >EF16_019/0000867: Research Centre of Advanced Mechatronic Systems</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
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Sensors (Basel, Switzerland)
ISSN
1424-8220
e-ISSN
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Volume of the periodical
20
Issue of the periodical within the volume
3
Country of publishing house
CH - SWITZERLAND
Number of pages
19
Pages from-to
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UT code for WoS article
000517786200231
EID of the result in the Scopus database
2-s2.0-85079052797