Advanced Bioelectrical Signal Processing Methods: Past, Present and Future Approach-Part I: Cardiac Signals
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F21%3A10248083" target="_blank" >RIV/61989100:27240/21:10248083 - isvavai.cz</a>
Result on the web
<a href="https://www.mdpi.com/1424-8220/21/15/5186" target="_blank" >https://www.mdpi.com/1424-8220/21/15/5186</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/s21155186" target="_blank" >10.3390/s21155186</a>
Alternative languages
Result language
angličtina
Original language name
Advanced Bioelectrical Signal Processing Methods: Past, Present and Future Approach-Part I: Cardiac Signals
Original language description
Advanced signal processing methods are one of the fastest developing scientific and technical areas of biomedical engineering with increasing usage in current clinical practice. This paper presents an extensive literature review of the methods for the digital signal processing of cardiac bioelectrical signals that are commonly applied in today's clinical practice. This work covers the definition of bioelectrical signals. It also covers to the extreme extent of classical and advanced approaches to the alleviation of noise contamination such as digital adaptive and non-adaptive filtering, signal decomposition methods based on blind source separation and wavelet transform.
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
20201 - Electrical and electronic engineering
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
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Sensors
ISSN
1424-3210
e-ISSN
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Volume of the periodical
21
Issue of the periodical within the volume
15
Country of publishing house
CH - SWITZERLAND
Number of pages
32
Pages from-to
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UT code for WoS article
000682230600001
EID of the result in the Scopus database
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