-
Je něco špatně v tomto záznamu ?
Discrimination of endocardial electrogram disorganization using a signal regularity analysis
D. Novák, V. Křemen, D. Cuesta, K. Schmidt, V. Chudáček, L. Lhotská
Jazyk angličtina Země Spojené státy americké
Typ dokumentu časopisecké články, práce podpořená grantem
- MeSH
- algoritmy MeSH
- analýza rozptylu MeSH
- automatizace metody MeSH
- elektrokardiografie metody MeSH
- entropie MeSH
- fibrilace síní patofyziologie MeSH
- fraktály MeSH
- lidé MeSH
- srdeční síně patofyziologie MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
Measures from the theory of nonlinear dynamics were applied on complex fractionated atrial electrograms (CFAEs) in order to characterize their physiological dynamic behavior. The results were obtained considering 113 short term atrial electrograms (A-EGMs) which were annotated by three experts into four classes of fractionation according to A-EGMs signal regularity. The following measures were applied on A-EGM signals: General Correlation Dimension, Approximate Entropy, Detrended Fluctuation Analysis, Lempel-Ziv Complexity, and Katz-Sevcik, Variance and Box Counting Fractal Dimension. Assessment of disorganization was evaluated by a Kruskal Wallis statistical test. Except Detrended Fluctuation Analysis and Variance Fractal Dimension, the CFAE disorganization was found statistically significant even for low significant level alpha = 0.001. Moreover, the increasing complexity of A-EGM signals was reflected by higher values of General Correlation Dimension of order 1 and Approximate Entropy.
Citace poskytuje Crossref.org
- 000
- 00000naa a2200000 a 4500
- 001
- bmc12025435
- 003
- CZ-PrNML
- 005
- 20130223065518.0
- 007
- ta
- 008
- 120816s2009 xxu f 000 0#eng||
- 009
- AR
- 024 7_
- $a 10.1109/iembs.2009.5332729 $2 doi
- 035 __
- $a (PubMed)19963768
- 040 __
- $a ABA008 $b cze $d ABA008 $e AACR2
- 041 0_
- $a eng
- 044 __
- $a xxu
- 100 1_
- $a Novák, Daniel, $d 1976- $7 ntka173552 $u Department of Cybernetics, Czech Technical University in Prague, Czech Republic. xnovakd1@labe.felk.cvut.cz
- 245 10
- $a Discrimination of endocardial electrogram disorganization using a signal regularity analysis / $c D. Novák, V. Křemen, D. Cuesta, K. Schmidt, V. Chudáček, L. Lhotská
- 520 9_
- $a Measures from the theory of nonlinear dynamics were applied on complex fractionated atrial electrograms (CFAEs) in order to characterize their physiological dynamic behavior. The results were obtained considering 113 short term atrial electrograms (A-EGMs) which were annotated by three experts into four classes of fractionation according to A-EGMs signal regularity. The following measures were applied on A-EGM signals: General Correlation Dimension, Approximate Entropy, Detrended Fluctuation Analysis, Lempel-Ziv Complexity, and Katz-Sevcik, Variance and Box Counting Fractal Dimension. Assessment of disorganization was evaluated by a Kruskal Wallis statistical test. Except Detrended Fluctuation Analysis and Variance Fractal Dimension, the CFAE disorganization was found statistically significant even for low significant level alpha = 0.001. Moreover, the increasing complexity of A-EGM signals was reflected by higher values of General Correlation Dimension of order 1 and Approximate Entropy.
- 650 _2
- $a algoritmy $7 D000465
- 650 _2
- $a analýza rozptylu $7 D000704
- 650 _2
- $a fibrilace síní $x patofyziologie $7 D001281
- 650 _2
- $a automatizace $x metody $7 D001331
- 650 _2
- $a elektrokardiografie $x metody $7 D004562
- 650 _2
- $a entropie $7 D019277
- 650 _2
- $a fraktály $7 D017709
- 650 _2
- $a srdeční síně $x patofyziologie $7 D006325
- 650 _2
- $a lidé $7 D006801
- 655 _2
- $a časopisecké články $7 D016428
- 655 _2
- $a práce podpořená grantem $7 D013485
- 700 1#
- $a Křemen, Václav. $7 _AN068418
- 700 1_
- $a Cuesta, D
- 700 1_
- $a Schmidt, K
- 700 1_
- $a Chudáček, Václav $7 xx0124698
- 700 1_
- $a Lhotská, Lenka, $d 1961- $7 ntka173228
- 773 0_
- $w MED00180111 $t Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference $x 1557-170X $g Roč. 2009(2009), s. 1812-1815
- 856 41
- $u https://pubmed.ncbi.nlm.nih.gov/19963768 $y Pubmed
- 910 __
- $a ABA008 $b sig $c sign $y m
- 990 __
- $a 20120816 $b ABA008
- 991 __
- $a 20130223065722 $b ABA008
- 999 __
- $a ok $b bmc $g 947477 $s 782781
- BAS __
- $a 3
- BAS __
- $a PreBMC
- BMC __
- $a 2009 $b 2009 $d 1812-1815 $i 1557-170X $m Conference proceedings ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society $n Conf Proc IEEE Eng Med Biol Soc $x MED00180111
- LZP __
- $a Pubmed-20120816/10/02