Sökning: WFRF:(Sornmo Leif) > Investigating Respi...
Fältnamn | Indikatorer | Metadata |
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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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