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. 2022 Jun 16;8:20552076221107903. doi: 10.1177/20552076221107903

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© The Author(s) 2022

This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).

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Figure 3. — Cosinor metrics of BioPatch data streams The rhythm-adjusted mean, MESOR, (Left) and amplitude (Center) for activity (g), breathing (bpm) and heart (bpm) rates, and BioPatch SDNN (standard deviation of normal-to-normal RR, ms) as heart rate variability (HRV) readout are stratified by cohort, i.e. diabetic (left) and normoglycemic (center) patient with CKD compared to healthy controls (right). Right: The time-of-day when physiological readouts peak, acrophase, is shown for activity (g), breathing (bpm) and heart (bpm) rates, and BioPatch SDNN (ms) for controls (top, blue), diabetic (center, green), and normoglycemic (bottom, orange) patient with CKD. CKD, chronic kidney disease.