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. 2019 Jun 6;7(6):e12866. doi: 10.2196/12866

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©Joren Buekers, Jan Theunis, Patrick De Boever, Anouk W Vaes, Maud Koopman, Eefje VM Janssen, Emiel FM Wouters, Martijn A Spruit, Jean-Marie Aerts. Originally published in JMIR Mhealth and Uhealth (http://mhealth.jmir.org), 06.06.2019.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR mhealth and uhealth, is properly cited. The complete bibliographic information, a link to the original publication on http://mhealth.jmir.org/, as well as this copyright and license information must be included.

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Visualization of the different preprocessing steps. Panel A shows all original data, containing error values, that are divided into daytime and nocturnal data. Panel B zooms in on the effect of data exclusion on a specific part of daytime peripheral blood oxygen saturation (SpO₂) data. Panel C zooms in on the effect of down-sampling and interpolating on the same part of daytime SpO₂ data.