Spectral analysis of ECG and SpO₂ for machine learning classification of Sleep-Disordered breathing.

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Bibliographic Details
Title: Spectral analysis of ECG and SpO₂ for machine learning classification of Sleep-Disordered breathing.
Authors: Strumpf ZB; Division of Pulmonary, Critical Care and Sleep Medicine, University Hospitals Cleveland Medical Center, 11100 Euclid Avenue, Bolwell, Cleveland, OH, 44106, USA. zachary.strumpf@uhhospitals.org.; School of Medicine, Case Western Reserve University, Cleveland, USA. zachary.strumpf@uhhospitals.org., Kaffashi F; ISSACS: Institute for Smart, Secure and Connected Systems, Case Western Reserve University, Cleveland, USA., Patil SP; Division of Pulmonary, Critical Care and Sleep Medicine, University Hospitals Cleveland Medical Center, 11100 Euclid Avenue, Bolwell, Cleveland, OH, 44106, USA.; School of Medicine, Case Western Reserve University, Cleveland, USA., Strohl KP; Division of Pulmonary, Critical Care and Sleep Medicine, University Hospitals Cleveland Medical Center, 11100 Euclid Avenue, Bolwell, Cleveland, OH, 44106, USA.; School of Medicine, Case Western Reserve University, Cleveland, USA., Loparo KA; ISSACS: Institute for Smart, Secure and Connected Systems, Case Western Reserve University, Cleveland, USA., Jacono FJ; Division of Pulmonary, Critical Care and Sleep Medicine, University Hospitals Cleveland Medical Center, 11100 Euclid Avenue, Bolwell, Cleveland, OH, 44106, USA.; School of Medicine, Case Western Reserve University, Cleveland, USA.
Source: Sleep & breathing = Schlaf & Atmung [Sleep Breath] 2026 Feb 11; Vol. 30 (1), pp. 41. Date of Electronic Publication: 2026 Feb 11.
Publication Type: Journal Article
Journal Info: Publisher: Springer Country of Publication: Germany NLM ID: 9804161 Publication Model: Electronic Cited Medium: Internet ISSN: 1522-1709 (Electronic) Linking ISSN: 15209512 NLM ISO Abbreviation: Sleep Breath Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1522-1709
DOI:10.1007/s11325-026-03602-5