On the generalizability of ECG-based obstructive sleep apnea monitoring: merits and limitations of the Apnea-ECG database

G. Papini; P. Fonseca; Jenny Margarito; M.M. van Gilst; S. Overeem; J.W.M. Bergmans; R. Vullings

doi:10.1109/EMBC.2018.8513660

On the generalizability of ECG-based obstructive sleep apnea monitoring: merits and limitations of the Apnea-ECG database

G. Papini, P. Fonseca, Jenny Margarito, M.M. van Gilst, S. Overeem, J.W.M. Bergmans, R. Vullings

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

17 Citations (Scopus)

85 Downloads (Pure)

Abstract

Obstructive sleep apnea syndrome (OSAS) is a sleep disorder that affects a large part of the population and the development of algorithms using cardiovascular features for OSAS monitoring has been an extensively researched topic in the last two decades. Several studies regarding automatic apneic event classification using ECG derived features are based on the public Apnea-ECG database available on PhysioNet. Although this database is an excellent starting point for apnea topic investigations, in our study we show that algorithms for apneic-epochs classification that are successfully trained on this database (sensitivity < 85%, false detection rate <20%) perform poorly (sensitivity\textit<55%, false detection rate < 40%) in other databases which include patients with a broader spectrum of apneic events and sleep disorders. The reduced performance can be related to the complexity of breathing events, the increased number of non-breathing related sleep events, and the presence of non-OSAS sleep pathologies.

Original language	English
Title of host publication	40th International Engineering in Medicine and Biology Conference
Place of Publication	Piscataway
Publisher	Institute of Electrical and Electronics Engineers
Pages	6022-6025
Number of pages	4
ISBN (Electronic)	978-1-5386-3646-6
DOIs	https://doi.org/10.1109/EMBC.2018.8513660
Publication status	Published - 22 Jul 2018
Event	40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018 - Hawaii Convention Center, Honolulu, United States Duration: 18 Jul 2018 → 21 Jul 2018 Conference number: 40 https://embc.embs.org/2018/

Conference

Conference	40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018
Abbreviated title	EMBC 2018
Country/Territory	United States
City	Honolulu
Period	18/07/18 → 21/07/18
Other	"Learning from the Past, Looking to the Future"
Internet address	https://embc.embs.org/2018/

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10.1109/EMBC.2018.8513660

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Cite this

Papini, G., Fonseca, P., Margarito, J., van Gilst, M. M., Overeem, S., Bergmans, J. W. M., & Vullings, R. (2018). On the generalizability of ECG-based obstructive sleep apnea monitoring: merits and limitations of the Apnea-ECG database. In 40th International Engineering in Medicine and Biology Conference (pp. 6022-6025). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/EMBC.2018.8513660

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abstract = "Obstructive sleep apnea syndrome (OSAS) is a sleep disorder that affects a large part of the population and the development of algorithms using cardiovascular features for OSAS monitoring has been an extensively researched topic in the last two decades. Several studies regarding automatic apneic event classification using ECG derived features are based on the public Apnea-ECG database available on PhysioNet. Although this database is an excellent starting point for apnea topic investigations, in our study we show that algorithms for apneic-epochs classification that are successfully trained on this database (sensitivity < 85%, false detection rate <20%) perform poorly (sensitivity\textit<55%, false detection rate < 40%) in other databases which include patients with a broader spectrum of apneic events and sleep disorders. The reduced performance can be related to the complexity of breathing events, the increased number of non-breathing related sleep events, and the presence of non-OSAS sleep pathologies.",

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Papini, G , Fonseca, P, Margarito, J, van Gilst, MM , Overeem, S , Bergmans, JWM & Vullings, R 2018, On the generalizability of ECG-based obstructive sleep apnea monitoring: merits and limitations of the Apnea-ECG database. in 40th International Engineering in Medicine and Biology Conference. Institute of Electrical and Electronics Engineers, Piscataway, pp. 6022-6025, 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018, Honolulu, United States, 18/07/18. https://doi.org/10.1109/EMBC.2018.8513660

On the generalizability of ECG-based obstructive sleep apnea monitoring: merits and limitations of the Apnea-ECG database. / Papini, G.; Fonseca, P.; Margarito, Jenny et al.

40th International Engineering in Medicine and Biology Conference. Piscataway : Institute of Electrical and Electronics Engineers, 2018. p. 6022-6025.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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AU - Overeem, S.

AU - Bergmans, J.W.M.

AU - Vullings, R.

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Papini G , Fonseca P, Margarito J, van Gilst MM , Overeem S , Bergmans JWM et al. On the generalizability of ECG-based obstructive sleep apnea monitoring: merits and limitations of the Apnea-ECG database. In 40th International Engineering in Medicine and Biology Conference. Piscataway: Institute of Electrical and Electronics Engineers. 2018. p. 6022-6025 doi: 10.1109/EMBC.2018.8513660

On the generalizability of ECG-based obstructive sleep apnea monitoring: merits and limitations of the Apnea-ECG database

Abstract

Conference

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Multimodel signal analysis for unobstrusive characterization of obstructive sleep apnea

Sleep Medicine

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On the generalizability of ECG-based obstructive sleep apnea monitoring: merits and limitations of the Apnea-ECG database

Abstract

Conference

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Projects

Multimodel signal analysis for unobstrusive characterization of obstructive sleep apnea

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Sleep Medicine

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