Advanced bioelectrical signal processing methods: Past, present and future approach-Part II: Brain signals

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F21%3A10248180" target="_blank" >RIV/61989100:27240/21:10248180 - isvavai.cz</a>

Result on the web

<a href="https://www.mdpi.com/1424-8220/21/19/6343" target="_blank" >https://www.mdpi.com/1424-8220/21/19/6343</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/s21196343" target="_blank" >10.3390/s21196343</a>

Result language

angličtina

Original language name

Advanced bioelectrical signal processing methods: Past, present and future approach-Part II: Brain signals

Original language description

As it was mentioned in the previous part of this work (Part I)-the advanced signal processing methods are one of the quickest and the most dynamically developing scientific areas of biomedical engineering with their increasing usage in current clinical practice. In this paper, which is a Part II work-various innovative methods for the analysis of brain bioelectrical signals were presented and compared. It also describes both classical and advanced approaches for noise contamination removal such as among the others digital adaptive and non-adaptive filtering, signal decomposition methods based on blind source separation, and wavelet transform. (C) 2021 by the authors. Licensee MDPI, Basel, Switzerland.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

20201 - Electrical and electronic engineering

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

Publication year

2021

Confidentiality

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

Name of the periodical

Sensors

ISSN

1424-8220

e-ISSN

—

Volume of the periodical

21

Issue of the periodical within the volume

19

Country of publishing house

CH - SWITZERLAND

Number of pages

35

Pages from-to

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UT code for WoS article

000729178200001

EID of the result in the Scopus database

2-s2.0-85115407738