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Electrocardiogram d...
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Lazaro, JesusUniversity of Zaragoza
(författare)
Electrocardiogram derived respiration from QRS slopes : Evaluation with stress testing recordings
- Artikel/kapitelEngelska2013
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LIBRIS-ID:oai:lup.lub.lu.se:3b5f20d8-9e4d-4b21-b0cd-bd8c00712860
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https://lup.lub.lu.se/record/3b5f20d8-9e4d-4b21-b0cd-bd8c00712860URI
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Språk:engelska
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Sammanfattning på:engelska
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Anmärkningar
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A method for respiratory rate estimation from electrocardiogram (ECG), based on variations in QRS complexes slopes, is evaluated over stress testing recordings. Besides the 12 standard, and the 3 vectorcardiogram (VCG), 2 additional leads derived from the VCG are analyzed. A total of 34 slope series were studied, 2 for each lead: slopes between the peaks of the Q and R waves, and between the peaks of the R and S waves. Respiratory rate is estimated by using a time-frequency based algorithm which can combine information from several derived respiration signals. Evaluation was performed over a database containing ECG and respiratory signals simultaneously recorded from 30 subjects spontaneously breathing during a stress test. Respiratory rate estimation is performed with information of 4 different combinations of QRS slope series. The best results in respiratory rate estimation error terms are -1.07 ± 8.86% (-11.47 ± 37.97 mHz). These results suggest that proposed methods based on QRS slopes are highly suitable for respiratory rate estimation from ECG signal, specially at very non-stationary and noise scenarios as stress test.
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Biuppslag (personer, institutioner, konferenser, titlar ...)
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Alcaine, AlejandroUniversity of Zaragoza
(författare)
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Romero, DanielUniversity of Zaragoza
(författare)
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Gil, EduardoUniversity of Zaragoza
(författare)
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Laguna, PabloUniversity of Zaragoza
(författare)
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Sornmo, LeifLund University,Lunds universitet,Institutionen för elektro- och informationsteknik,Institutioner vid LTH,Lunds Tekniska Högskola,Department of Electrical and Information Technology,Departments at LTH,Faculty of Engineering, LTH(Swepub:lu)tde-lso
(författare)
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Bailon, RaquelUniversity of Zaragoza
(författare)
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University of ZaragozaInstitutionen för elektro- och informationsteknik
(creator_code:org_t)
Sammanhörande titlar
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Ingår i:2013 Computing in Cardiology40, s. 655-6589781479908844
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