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Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-28467
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dc.contributor.authorReissenberger, Pamela-
dc.contributor.authorSerfözö, Peter-
dc.contributor.authorPiper, Diana-
dc.contributor.authorJuchler, Norman-
dc.contributor.authorGlanzmann, Sara-
dc.contributor.authorGram, Jasmin-
dc.contributor.authorHensler, Karina-
dc.contributor.authorTonidandel, Hannah-
dc.contributor.authorBörlin, Elena-
dc.contributor.authorD’Souza, Marcus-
dc.contributor.authorBadertscher, Patrick-
dc.contributor.authorEckstein, Jens-
dc.date.accessioned2023-08-18T12:44:54Z-
dc.date.available2023-08-18T12:44:54Z-
dc.date.issued2023-07-06-
dc.identifier.issn2634-3916de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/28467-
dc.description.abstractAims: Recent studies suggest that atrial fibrillation (AF) burden (time AF is present) is an independent risk factor for stroke. The aim of this trial was to study the feasibility and accuracy to identify AF episodes and quantify AF burden in patients with a known history of paroxysmal AF with a photoplethysmography (PPG)-based wearable. Methods and results: In this prospective, single-centre trial, the PPG-based estimation of AF burden was compared with measurements of a conventional 48 h Holter electrocardiogram (ECG), which served as the gold standard. An automated algorithm performed PPG analysis, while a cardiologist, blinded for the PPG data, analysed the ECG data. Detected episodes of AF measured by both methods were aligned timewise.Out of 100 patients recruited, 8 had to be excluded due to technical issues. Data from 92 patients were analysed [55.4% male; age 73.3 years (standard deviation, SD: 10.4)]. Twenty-five patients presented AF during the study period. The intraclass correlation coefficient of total AF burden minutes detected by the two measurement methods was 0.88. The percentage of correctly identified AF burden over all patients was 85.1% and the respective parameter for non-AF time was 99.9%. Conclusion: Our results demonstrate that a PPG-based wearable in combination with an analytical algorithm appears to be suitable for a semiquantitative estimation of AF burden in patients with a known history of paroxysmal AF.de_CH
dc.language.isoende_CH
dc.publisherOxford University Pressde_CH
dc.relation.ispartofEuropean Heart Journal - Digital Healthde_CH
dc.rightshttp://creativecommons.org/licenses/by-nc/4.0/de_CH
dc.subjectAtrial fibrillationde_CH
dc.subjectAF burdende_CH
dc.subjectPhotoplethysmographyde_CH
dc.subjectSmartwatchde_CH
dc.subjectMonitoringde_CH
dc.subject.ddc004: Informatikde_CH
dc.subject.ddc616: Innere Medizin und Krankheitende_CH
dc.titleDetermine atrial fibrillation burden with a photoplethysmographic mobile sensor: the atrial fibrillation burden trial : detection and quantification of episodes of atrial fibrillation using a cloud analytics service connected to a wearable with photoplethysmographic sensorde_CH
dc.typeBeitrag in wissenschaftlicher Zeitschriftde_CH
dcterms.typeTextde_CH
zhaw.departementLife Sciences und Facility Managementde_CH
zhaw.organisationalunitInstitut für Computational Life Sciences (ICLS)de_CH
dc.identifier.doi10.1093/ehjdh/ztad039de_CH
dc.identifier.doi10.21256/zhaw-28467-
zhaw.funding.euNode_CH
zhaw.issue5de_CH
zhaw.originated.zhawYesde_CH
zhaw.pages.end410de_CH
zhaw.pages.start402de_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.volume4de_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
zhaw.webfeedBiomedical Simulationde_CH
zhaw.webfeedDigital Health Labde_CH
zhaw.webfeedMedical Image Analysis & Data Modelingde_CH
zhaw.author.additionalNode_CH
zhaw.display.portraitYesde_CH
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Reissenberger, P., Serfözö, P., Piper, D., Juchler, N., Glanzmann, S., Gram, J., Hensler, K., Tonidandel, H., Börlin, E., D’Souza, M., Badertscher, P., & Eckstein, J. (2023). Determine atrial fibrillation burden with a photoplethysmographic mobile sensor: the atrial fibrillation burden trial : detection and quantification of episodes of atrial fibrillation using a cloud analytics service connected to a wearable with photoplethysmographic sensor. European Heart Journal - Digital Health, 4(5), 402–410. https://doi.org/10.1093/ehjdh/ztad039
Reissenberger, P. et al. (2023) ‘Determine atrial fibrillation burden with a photoplethysmographic mobile sensor: the atrial fibrillation burden trial : detection and quantification of episodes of atrial fibrillation using a cloud analytics service connected to a wearable with photoplethysmographic sensor’, European Heart Journal - Digital Health, 4(5), pp. 402–410. Available at: https://doi.org/10.1093/ehjdh/ztad039.
P. Reissenberger et al., “Determine atrial fibrillation burden with a photoplethysmographic mobile sensor: the atrial fibrillation burden trial : detection and quantification of episodes of atrial fibrillation using a cloud analytics service connected to a wearable with photoplethysmographic sensor,” European Heart Journal - Digital Health, vol. 4, no. 5, pp. 402–410, Jul. 2023, doi: 10.1093/ehjdh/ztad039.
REISSENBERGER, Pamela, Peter SERFÖZÖ, Diana PIPER, Norman JUCHLER, Sara GLANZMANN, Jasmin GRAM, Karina HENSLER, Hannah TONIDANDEL, Elena BÖRLIN, Marcus D’SOUZA, Patrick BADERTSCHER und Jens ECKSTEIN, 2023. Determine atrial fibrillation burden with a photoplethysmographic mobile sensor: the atrial fibrillation burden trial : detection and quantification of episodes of atrial fibrillation using a cloud analytics service connected to a wearable with photoplethysmographic sensor. European Heart Journal - Digital Health. 6 Juli 2023. Bd. 4, Nr. 5, S. 402–410. DOI 10.1093/ehjdh/ztad039
Reissenberger, Pamela, Peter Serfözö, Diana Piper, Norman Juchler, Sara Glanzmann, Jasmin Gram, Karina Hensler, et al. 2023. “Determine Atrial Fibrillation Burden with a Photoplethysmographic Mobile Sensor: The Atrial Fibrillation Burden Trial : Detection and Quantification of Episodes of Atrial Fibrillation Using a Cloud Analytics Service Connected to a Wearable with Photoplethysmographic Sensor.” European Heart Journal - Digital Health 4 (5): 402–10. https://doi.org/10.1093/ehjdh/ztad039.
Reissenberger, Pamela, et al. “Determine Atrial Fibrillation Burden with a Photoplethysmographic Mobile Sensor: The Atrial Fibrillation Burden Trial : Detection and Quantification of Episodes of Atrial Fibrillation Using a Cloud Analytics Service Connected to a Wearable with Photoplethysmographic Sensor.” European Heart Journal - Digital Health, vol. 4, no. 5, July 2023, pp. 402–10, https://doi.org/10.1093/ehjdh/ztad039.


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