A Comparative Study of ECG-derived Respiration in Ambulatory Monitoring using the Single-lead ECG
(2020) In Scientific Reports 10(1).- 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... (More)
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.
(Less)
- author
- organization
- publishing date
- 2020-03-31
- type
- Contribution to journal
- publication status
- published
- subject
- in
- Scientific Reports
- volume
- 10
- issue
- 1
- article number
- 5704
- publisher
- Nature Publishing Group
- external identifiers
-
- pmid:32235865
- scopus:85082791796
- ISSN
- 2045-2322
- DOI
- 10.1038/s41598-020-62624-5
- language
- English
- LU publication?
- yes
- id
- a87b1f19-b319-45db-a4d3-63c62c7ef728
- date added to LUP
- 2020-04-17 16:49:09
- date last changed
- 2024-04-17 07:35:51
@article{a87b1f19-b319-45db-a4d3-63c62c7ef728, abstract = {{<p>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.</p>}}, author = {{Varon, Carolina and Morales, John and Lázaro, Jesús and Orini, Michele and Deviaene, Margot and Kontaxis, Spyridon and Testelmans, Dries and Buyse, Bertien and Borzée, Pascal and Sörnmo, Leif and Laguna, Pablo and Gil, Eduardo and Bailón, Raquel}}, issn = {{2045-2322}}, language = {{eng}}, month = {{03}}, number = {{1}}, publisher = {{Nature Publishing Group}}, series = {{Scientific Reports}}, title = {{A Comparative Study of ECG-derived Respiration in Ambulatory Monitoring using the Single-lead ECG}}, url = {{http://dx.doi.org/10.1038/s41598-020-62624-5}}, doi = {{10.1038/s41598-020-62624-5}}, volume = {{10}}, year = {{2020}}, }