Status: Bibliographieeintrag
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| Verfasst von: | Maier, Christoph [VerfasserIn]  |
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| | Dickhaus, Hartmut [VerfasserIn] |
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| Titel: | Extraction of respiratory myogram interference from the ECG and its application to characterize sleep-related breathing disorders in atrial fibrillation |
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| Verf.angabe: | Christoph Maier, Hartmut Dickhaus |
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| E-Jahr: | 2014 |
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| Jahr: | 2 August 2014 |
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| Umfang: | 5 S. |
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| Fussnoten: | Gesehen am 18.12.2020 |
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| Titel Quelle: | Enthalten in: Journal of electrocardiology |
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| Ort Quelle: | New York, NY : Elsevier, 1968 |
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| Jahr Quelle: | 2014 |
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| Band/Heft Quelle: | 47(2014), 6, Seite 826-830 |
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| ISSN Quelle: | 1532-8430 |
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| Abstract: | BACKGROUND AND PURPOSE: Present methods to extract respiratory myogram interference (RMI) from the Holter-ECG and assess effect of supraventricular arrhythmias (SVAs) onto ECG-based detection of sleep-related breathing disorders (SRBDs) and AHI estimation. - METHODS: RMI was quantified as residual energy after ECG cancellation or high-pass filtering for different windowing constellations. In 140 cases without (SET_A) and 10 cases with persistent SVAs (SET_B), respiratory polysomnogram annotations served as reference for SRDB detection from Holter-ECGs. We applied our previously published method to identify SRDBs in 1-min epochs and estimate the AHI based on joint modulations in RMI and QRS-area. - RESULTS: Sensitivity and specificity of 0.855/0.860 in SET_A dropped to 0.831/0.75 in SET_B. A significantly higher number of wake events in SET_B likely contribute to the asymmetric decrease and is consistent with a tendency to overestimate the AHI. - CONCLUSIONS: Despite reduced accuracy, RMI and QRS-area appear relatively robust against SVA and promise Holter-based detection at least of medium to severe SRBDs also in patients with SVAs. |
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| DOI: | doi:10.1016/j.jelectrocard.2014.07.017 |
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| URL: | Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.
Volltext: https://doi.org/10.1016/j.jelectrocard.2014.07.017 |
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| | DOI: https://doi.org/10.1016/j.jelectrocard.2014.07.017 |
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| Datenträger: | Online-Ressource |
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| Sprache: | eng |
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| Sach-SW: | Aged |
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| | Algorithms |
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| | Artifacts |
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| | Atrial fibrillation |
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| | Atrial Fibrillation |
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| | Diagnosis, Computer-Assisted |
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| | ECG |
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| | ECG-derived respiration |
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| | Electrocardiography |
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| | Female |
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| | Humans |
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| | Male |
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| | Middle Aged |
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| | Pattern Recognition, Automated |
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| | QRS amplitude |
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| | Reproducibility of Results |
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| | Respiratory Mechanics |
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| | Respiratory myogram interference |
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| | Sensitivity and Specificity |
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| | Sleep apnea |
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| | Sleep Apnea Syndromes |
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| | Sleep-related breathing disorders |
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| | Supraventricular arrhythmia |
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| K10plus-PPN: | 1743263082 |
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| Verknüpfungen: | → Zeitschrift |
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Extraction of respiratory myogram interference from the ECG and its application to characterize sleep-related breathing disorders in atrial fibrillation / Maier, Christoph [VerfasserIn]; 2 August 2014 (Online-Ressource)
68674832
