Respiratory and cardiac monitoring at night using a wrist wearable optical system

dc.contributor.authorRenevey, Philippe
dc.contributor.authorDelgado-Gonzalo, Ricard
dc.contributor.authorLemkaddem, Alia
dc.contributor.authorVerjus, Christophe
dc.contributor.authorCombertaldi, Selina
dc.contributor.authorRasch, Bjuorn
dc.contributor.authorLeeners, Brigitte
dc.contributor.authorDammeier, Franziska
dc.contributor.authorKuubler, Florian
dc.date.accessioned2022-02-14T17:07:48Z
dc.date.available2022-02-14T17:07:48Z
dc.date.issued2018
dc.description.abstractSleep monitoring provides valuable insights into the general health of an individual and helps in the diagnostic of sleep-derived illnesses. Polysomnography, is considered the gold standard for such task. However, it is very unwieldy and therefore not suitable for long-term analysis. Here, we present a non-intrusive wearable system that, by using photoplethysmography, it can estimate beat-to-beat intervals, pulse rate, and breathing rate reliably during the night. The performance of the proposed approach was evaluated empirically in the Department of Psychology at the University of Fribourg. Each participant was wearing two smart-bracelets from Ava as well as a complete polysomnographic setup as reference. The resulting mean absolute errors are 17.4 ms (MAPE 1.8%) for the beat-to-beat intervals, 0.13 beats-per-minute (MAPE 0.20%) for the pulse rate, and 0.9 breaths-per-minute (MAPE 6.7%) for the breath rate.
dc.identifier.citation2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Honolulu, HI (USA), pp. 2861-2864
dc.identifier.doi10.1109/EMBC.2018.8512881
dc.identifier.isbn978-1-5386-3646-6
dc.identifier.urihttps://hdl.handle.net/20.500.12839/693
dc.identifier.urlhttps://ieeexplore.ieee.org/document/8512881/
dc.titleRespiratory and cardiac monitoring at night using a wrist wearable optical system
dc.typeProceedings Article
dc.type.csemdivisionsBU-D
dc.type.csemresearchareasDigital Health
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