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

Authors :
Renevey, Philippe
Delgado-Gonzalo, Ricard
Lemkaddem, Alia
Verjus, Christophe
Combertaldi, Selina
Rasch, Björn
Leeners, Brigitte
Dammeier, Franziska
Kübler, Florian
Source :
40th International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2018)
Publication Year :
2017

Abstract

Sleep 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.<br />Comment: Submitted to the 40th International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

Details

Database :
arXiv
Journal :
40th International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2018)
Publication Type :
Report
Accession number :
edsarx.1710.11026
Document Type :
Working Paper
Full Text :
https://doi.org/10.1109/EMBC.2018.8512881