Using entropy of snoring, respiratory effort and electrocardiography signals during sleep for OSA detection and severity classification

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Englisch

Bibliographic citation: In: Sleep Medicine, 111, S. 21-27

Event: Veröffentlichung

(where): Augsburg

(who): Universität Augsburg

(when): 2023

Event: Veröffentlichung

(where): Amsterdam

(who): Elsevier BV

(when): 2023

Creator: Bahr-Hamm, K.
Abriani, A.
Anwar, A. R.
Ding, H.
Muthuraman, Muthuraman
Gouveris, H.

DOI: 10.1016/j.sleep.2023.09.005

URN: urn:nbn:de:bvb:384-opus4-1108999

Rights: Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 25.03.2025, 1:47 PM CET

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Associated

Bahr-Hamm, K.
Abriani, A.
Anwar, A. R.
Ding, H.
Muthuraman, Muthuraman
Gouveris, H.
Universität Augsburg
Elsevier BV

Time of origin

2023

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Using entropy of snoring, respiratory effort and electrocardiography signals during sleep for OSA detection and severity classification

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