A Comparative Study of ECG-derived Respiration in Ambulatory Monitoring using the Single-lead ECG

Title

A Comparative Study of ECG-derived Respiration in Ambulatory Monitoring using the Single-lead ECG

 Author

Varon, Carolina (TU Delft Signal Processing Systems; Katholieke Universiteit Leuven)
Lázaro, Jesús (University of Connecticut; Universidad de Zaragoza; Biomaterials and Nanomedicine (CIBER-BBN))
Orini, Michele (University College London (UCL))
Deviaene, Margot (Katholieke Universiteit Leuven)
Kontaxis, Spyridon (Universidad de Zaragoza; Biomaterials and Nanomedicine (CIBER-BBN))
Testelmans, Dries (University Hospital Leuven)
Buyse, Bertien (University Hospital Leuven)
Borzée, Pascal (University Hospital Leuven)
Sörnmo, Leif (Lund University)

Date

2020-12-01

 Abstract

Cardiorespiratory monitoring is crucial for the diagnosis and management of multiple conditions such as stress and sleep disorders. Therefore, the development of ambulatory systems providing continuous, comfortable, and inexpensive means for monitoring represents an important research topic. Several techniques have been proposed in the literature to derive respiratory information from the ECG signal. Ten methods to compute single-lead ECG-derived respiration (EDR) were compared under multiple conditions, including different recording systems, baseline wander, normal and abnormal breathing patterns, changes in breathing rate, noise, and artifacts. Respiratory rates, wave morphology, and cardiorespiratory information were derived from the ECG and compared to those extracted from a reference respiratory signal. Three datasets were considered for analysis, involving a total 59 482 one-min, single-lead ECG segments recorded from 156 subjects. The results indicate that the methods based on QRS slopes outperform the other methods. This result is particularly interesting since simplicity is crucial for the development of ECG-based ambulatory systems.


 To reference this document use:

http://resolver.tudelft.nl/uuid:2ae950f8-1d80-43ca-abd9-79c5cd640972

 DOI

https://doi.org/10.1038/s41598-020-62624-5

 ISSN

2045-2322

 Source

Scientific Reports, 10 (1)

 Part of collection

Institutional Repository

 Document type

journal article

 Rights

© 2020 Carolina Varon, Jesús Lázaro, Michele Orini, Margot Deviaene, Spyridon Kontaxis, Dries Testelmans, Bertien Buyse, Pascal Borzée, Leif Sörnmo, More Authors
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