{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,28]],"date-time":"2026-04-28T17:27:42Z","timestamp":1777397262493,"version":"3.51.4"},"reference-count":69,"publisher":"MDPI AG","issue":"5","license":[{"start":{"date-parts":[[2018,5,19]],"date-time":"2018-05-19T00:00:00Z","timestamp":1526688000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Athletes schedule their training and recovery in periods, often utilizing a pre-defined strategy. To avoid underperformance and\/or compromised health, the external load during training should take into account the individual\u2019s physiological and perceptual responses. No single variable provides an adequate basis for planning, but continuous monitoring of a combination of several indicators of internal and external load during training, recovery and off-training as well may allow individual responsive adjustments of a training program in an effective manner. From a practical perspective, including that of coaches, monitoring of potential changes in health and performance should ideally be valid, reliable and sensitive, as well as time-efficient, easily applicable, non-fatiguing and as non-invasive as possible. Accordingly, smartphone applications, wearable sensors and point-of-care testing appear to offer a suitable monitoring framework allowing responsive adjustments to exercise prescription. Here, we outline 24-h monitoring of selected parameters by these technologies that (i) allows responsive adjustments of exercise programs, (ii) enhances performance and\/or (iii) reduces the risk for overuse, injury and\/or illness.<\/jats:p>","DOI":"10.3390\/s18051632","type":"journal-article","created":{"date-parts":[[2018,5,21]],"date-time":"2018-05-21T04:07:30Z","timestamp":1526875650000},"page":"1632","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":70,"title":["Integrated Framework of Load Monitoring by a Combination of Smartphone Applications, Wearables and Point-of-Care Testing Provides Feedback that Allows Individual Responsive Adjustments to Activities of Daily Living"],"prefix":"10.3390","volume":"18","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0277-9858","authenticated-orcid":false,"given":"Peter","family":"D\u00fcking","sequence":"first","affiliation":[{"name":"Integrative and Experimental Exercise Science &amp; Training, Institute for Sport Sciences, University of W\u00fcrzburg, 97082 W\u00fcrzburg, Germany"}]},{"given":"Silvia","family":"Achtzehn","sequence":"additional","affiliation":[{"name":"Institute of Cardiology and Sports Medicine, German Sport University, 50933 Cologne, Germany"},{"name":"The German Research Centre of Elite Sport, German Sport University, 50933 Cologne, Germany"}]},{"given":"Hans-Christer","family":"Holmberg","sequence":"additional","affiliation":[{"name":"School of Sport Sciences, UiT The Arctic University of Norway, 9019 Tromso, Norway"},{"name":"Swedish Winter Sports Research Centre, Department of Health Sciences, Mid Sweden University, SE-831 25 \u00d6stersund, Sweden"}]},{"given":"Billy","family":"Sperlich","sequence":"additional","affiliation":[{"name":"Integrative and Experimental Exercise Science &amp; Training, Institute for Sport Sciences, University of W\u00fcrzburg, 97082 W\u00fcrzburg, Germany"}]}],"member":"1968","published-online":{"date-parts":[[2018,5,19]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"157","DOI":"10.1097\/00005768-200001000-00023","article-title":"Adaptation to a standardized training program and changes in fitness in a large, heterogeneous population: The HERITAGE Family Study","volume":"32","author":"Skinner","year":"2000","journal-title":"Med. 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