Investigating Respiratory Rate Estimation during Paroxysmal Atrial Fibrillation Using an Improved ECG Simulation Model

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Fältnamn	Indikatorer	Metadata
000		03395naa a2200349 4500
001		oai:lup.lub.lu.se:e4c1f9a5-47f3-46ce-b825-6559dc9f2d24
003		SwePub
008		210305s2020 \| \|\|\|\|\|\|\|\|\|\|\|000 \|\|eng\|
024	7	a https://lup.lub.lu.se/record/e4c1f9a5-47f3-46ce-b825-6559dc9f2d242 URI
024	7	a https://doi.org/10.22489/CinC.2020.2392 DOI
040		a (SwePub)lu
041		a engb eng
042		9 SwePub
072	7	a kon2 swepub-publicationtype
072	7	a ref2 swepub-contenttype
100	1	a Kontaxis, Spyridonu CIBER Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN),University of Zaragoza4 aut
245	1 0	a Investigating Respiratory Rate Estimation during Paroxysmal Atrial Fibrillation Using an Improved ECG Simulation Model
264	1	c 2020
520		a The present study addresses the problem of respiratory rate estimation from ECG-derived respiration (EDR) signals during paroxysmal atrial fibrillation (AF). Novel signal-to-noise ratios between various components of the ECG including the influence of respiration, measured by QRS ensemble variance, the amplitude of fibrillatory waves (f-waves), and the QRS amplitude are introduced to characterize EDR performance. Using an improved ECG simulation model accounting for morphological variation induced by respiration, the results show that 1. the error in estimating the respiratory rate increases as a function of the time spent in AF, 2. the leads farthest away from the atria, i.e., V_{4}, V_{5}, V_{6}, exhibit the best performance due to lower f-wave amplitudes, 3. lower errors in leads with similar f-wave amplitude are due to a more pronounced respiratory influence, and 4. the respiratory influence is higher in V_{2}, V_{3}, and V_{4} compared to other precordial leads.
650	7	a MEDICIN OCH HÄLSOVETENSKAPx Klinisk medicinx Kardiologi0 (SwePub)302062 hsv//swe
650	7	a MEDICAL AND HEALTH SCIENCESx Clinical Medicinex Cardiac and Cardiovascular Systems0 (SwePub)302062 hsv//eng
700	1	a Martin-Yebra, Albau Lund University,Lunds universitet,Avdelningen för Biomedicinsk teknik,Institutionen för biomedicinsk teknik,Institutioner vid LTH,Lunds Tekniska Högskola,Department of Biomedical Engineering,Departments at LTH,Faculty of Engineering, LTH,University of Zaragoza4 aut0 (Swepub:lu)al4484ma
700	1	a Petrenas, Andriusu Kaunas University of Technology4 aut
700	1	a Marozas, Vaidotasu Kaunas University of Technology4 aut
700	1	a Bailon, Raquelu University of Zaragoza,CIBER Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN)4 aut
700	1	a Laguna, Pablou University of Zaragoza,CIBER Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN)4 aut
700	1	a Sornmo, Leifu Lund University,Lunds universitet,Institutionen för biomedicinsk teknik,Institutioner vid LTH,Lunds Tekniska Högskola,Department of Biomedical Engineering,Departments at LTH,Faculty of Engineering, LTH4 aut0 (Swepub:lu)tde-lso
710	2	a CIBER Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN)b University of Zaragoza4 org
773	0	t 2020 Computing in Cardiology, CinC 2020g 2020-Septemberq 2020-Septemberx 2325-887Xx 2325-8861z 9781728173825
856	4	u http://dx.doi.org/10.22489/CinC.2020.239x freey FULLTEXT
856	4 8	u https://lup.lub.lu.se/record/e4c1f9a5-47f3-46ce-b825-6559dc9f2d24
856	4 8	u https://doi.org/10.22489/CinC.2020.239

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Av författaren/redakt...: Kontaxis, Spyrid ...; Martin-Yebra, Al ...; Petrenas, Andriu ...; Marozas, Vaidota ...; Bailon, Raquel; Laguna, Pablo; visa fler...; Sornmo, Leif; visa färre...

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