ECG-derived respiratory rate in atrial fibrillation

Kontaxis, Spyridon (Universidad de Zaragoza) ; Lázaro Plaza, Jesús (Universidad de Zaragoza) ; Corino, Valentina ; Sandberg, Frida ; Bailón Luesma, Raquel (Universidad de Zaragoza) ; Laguna Lasaosa, Pablo (Universidad de Zaragoza) ; Sörnmo, Leif

Resumen: Objective: The present study addresses the problem of estimating the respiratory rate from the morphological ECG variations in the presence of atrial fibrillatory waves (f-waves). The significance of performing f-wave suppression before respiratory rate estimation is investigated. Methods: The performance of a novel approach to ECG-derived respiration, named “slope range” (SR) and designed particularly for operation in atrial fibrillation (AF), is compared to that of two well-known methods based on either R-wave angle (RA) or QRS loop rotation angle (LA). A novel rule is proposed for spectral peak selection in respiratory rate estimation. The suppression of f-waves is accomplished using signal- and noise-dependent QRS weighted averaging. The performance evaluation embraces real as well as simulated ECG signals acquired from patients with persistent AF; the estimation error of the respiratory rate is determined for both types of signals. Results: Using real ECG signals and reference respiratory signals, rate estimation without f-wave suppression resulted in a median error of 0.015±0.021 Hz and 0.019±0.025 Hz for SR and RA, respectively, whereas LA with f-wave suppression resulted in 0.034±0.039 Hz. Using simulated signals, the results also demonstrate that f-wave suppression is superfluous for SR and RA, whereas it is essential for LA. Conclusion: The results show that SR offers the best performance as well as computational simplicity since f-wave suppression is not needed. Significance: The respiratory rate can be robustly estimated from the ECG in the presence of AF.

Idioma: Inglés

DOI: 10.1109/TBME.2019.2923587

Año: 2019

Publicado en: IEEE Transactions on Biomedical Engineering 67, 3 (2019), 905-914
ISSN: 0018-9294

Factor impacto JCR: 4.424 (2019)

Categ. JCR: ENGINEERING, BIOMEDICAL rank: 14 / 87 = 0.161 (2019) - Q1 - T1

Factor impacto SCIMAGO: 1.41 - Biomedical Engineering (Q1)

Financiación: info:eu-repo/grantAgreement/ES/DGA-FEDER/T39-17R-BSICoS
Financiación: info:eu-repo/grantAgreement/EC/H2020/745755/EU/Wearable Cardiorespiratory Monitor/WECARMON
Financiación: info:eu-repo/grantAgreement/ES/MINECO-FEDER/RTI2018-097723-B-I00

Tipo y forma: Article (PostPrint)

Área (Departamento): Área Teoría Señal y Comunicac. (Dpto. Ingeniería Electrón.Com.)