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

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10 Citaten (Scopus)
42 Downloads (Pure)

Samenvatting

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.

Originele taal-2Engels
Titel40th International Engineering in Medicine and Biology Conference
Plaats van productiePiscataway
UitgeverijInstitute of Electrical and Electronics Engineers
Pagina's6022-6025
Aantal pagina's4
ISBN van elektronische versie978-1-5386-3646-6
DOI's
StatusGepubliceerd - 22 jul 2018
Evenement40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2018) - Hawaii Convention Center, Honolulu, Verenigde Staten van Amerika
Duur: 18 jul 201821 jul 2018
Congresnummer: 40
https://embc.embs.org/2018/

Congres

Congres40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2018)
Verkorte titelEMBC 2018
Land/RegioVerenigde Staten van Amerika
StadHonolulu
Periode18/07/1821/07/18
Internet adres

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