Extraction of Beats from Noisy ECG Using ICA
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F12%3A00193468" target="_blank" >RIV/68407700:21230/12:00193468 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Extraction of Beats from Noisy ECG Using ICA
Original language description
Holter recordings of electrocardiographic signal (ECG) are usually distorted by noise added to measured useful signal due to e. g. worse contact skin-electrode, body movements, etc. Our goal is to create an automatic algorithm for noise removal without destroying morphology of QRS complexes. Our method is based on Independent Component Analysis (ICA). ur so-called ICA "filter" is divided into functional blocks, which can be modified independently on each other. Its performance is tested using two measures, namely Root-Mean-Square error (RMSE) and Pearson's correlation coefficient.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JC - Computer hardware and software
OECD FORD branch
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Result continuities
Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
IFMBE Proceedings: World Congress on Medical Physics and Biomedical Engineering
ISBN
978-3-642-29304-7
ISSN
1680-0737
e-ISSN
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Number of pages
4
Pages from-to
469-472
Publisher name
Springer
Place of publication
Heidelberg
Event location
Beijing ( Peking)
Event date
May 26, 2012
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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