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. 2022 Feb 19;17(1):564–586. doi: 10.1080/1750984X.2022.2039749

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© 2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group

This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way.

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Figure 2. — The pipeline from data collection to feedback, tailored to a multidisciplinary, dynamic, and personalized perspective on resilience (https://project-ris.nl/english/index.html). Psychological and physiological data collected through an app and sensors are pushed to a data platform, where they are securely stored for each athlete individually. Algorithms to detect warning signals in the psychological and physiological data are (automatically) run on the data yielding descriptive and analytic outcomes of each athlete which can be graphically displayed in the dashboard.