| KUZILEK, Jakub, Vaclav KREMEN, Filip SOUČEK a Lenka LHOTSKA. Independent Component Analysis and Decision Trees for ECG Holter Recording De-Noising. Plos one. San Francisco: Public library science, 2014, roč. 9, č. 6, s. "e98450", 9 s. ISSN 1932-6203. Dostupné z: https://dx.doi.org/10.1371/journal.pone.0098450. |
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@article{1218797,
author = {Kuzilek, Jakub and Kremen, Vaclav and Souček, Filip and Lhotska, Lenka},
article_location = {San Francisco},
article_number = {6},
doi = {http://dx.doi.org/10.1371/journal.pone.0098450},
keywords = {ELECTROCARDIOGRAPHIC SIGNALS; REMOVING ARTIFACTS; REDUCTION; DATABASE; ALGORITHMS; DYNAMICS},
language = {eng},
issn = {1932-6203},
journal = {Plos one},
title = {Independent Component Analysis and Decision Trees for ECG Holter Recording De-Noising},
volume = {9},
year = {2014}
}
TY - JOUR
ID - 1218797
AU - Kuzilek, Jakub - Kremen, Vaclav - Souček, Filip - Lhotska, Lenka
PY - 2014
TI - Independent Component Analysis and Decision Trees for ECG Holter Recording De-Noising
JF - Plos one
VL - 9
IS - 6
SP - "e98450"
EP - "e98450"
PB - Public library science
SN - 19326203
KW - ELECTROCARDIOGRAPHIC SIGNALS
KW - REMOVING ARTIFACTS
KW - REDUCTION
KW - DATABASE
KW - ALGORITHMS
KW - DYNAMICS
N2 - We have developed a method focusing on ECG signal de-noising using Independent component analysis (ICA). This approach combines JADE source separation and binary decision tree for identification and subsequent ECG noise removal. In order to to test the efficiency of this method comparison to standard filtering a wavelet-based de-noising method was used. Freely data available at Physionet medical data storage were evaluated. Evaluation criteria was root mean square error (RMSE) between original ECG and filtered data contaminated with artificial noise. Proposed algorithm achieved comparable result in terms of standard noises (power line interference, base line wander, EMG), but noticeably significantly better results were achieved when uncommon noise (electrode cable movement artefact) were compared.
ER -
KUZILEK, Jakub, Vaclav KREMEN, Filip SOUČEK a Lenka LHOTSKA. Independent Component Analysis and Decision Trees for ECG Holter Recording De-Noising. \textit{Plos one}. San Francisco: Public library science, 2014, roč.~9, č.~6, s.~''e98450'', 9 s. ISSN~1932-6203. Dostupné z: https://dx.doi.org/10.1371/journal.pone.0098450.
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