Electrocardiogram derived respiration from QRS slopes : Evaluation with stress testing recordings

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.

Alcaine, AlejandroUniversity of Zaragoza (författare)
Romero, DanielUniversity of Zaragoza (författare)
Gil, EduardoUniversity of Zaragoza (författare)
Laguna, PabloUniversity of Zaragoza (författare)
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)
Bailon, RaquelUniversity of Zaragoza (författare)
University of ZaragozaInstitutionen för elektro- och informationsteknik (creator_code:org_t)

Av författaren/redakt...: Lazaro, Jesus; Alcaine, Alejand ...; Romero, Daniel; Gil, Eduardo; Laguna, Pablo; Sornmo, Leif; visa fler...; Bailon, Raquel; visa färre...

Om ämnet

MEDICIN OCH HÄLSOVETENSKAP: MEDICIN OCH HÄLS ...; och Klinisk medicin; och Kardiologi

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.