Recommendations for assessment of the reliability, sensitivity, and validity of data provided by wearable sensors designed for monitoring physical activity
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- Although it is becoming increasingly popular to monitor parameters related to training, recovery, and health with wearable sensor technology (wearables), scientific evaluation of the reliability, sensitivity, and validity of such data is limited and, where available, has involved a wide variety of approaches. To improve the trustworthiness of data collected by wearables and facilitate comparisons, we have outlined recommendations for standardized evaluation. We discuss the wearable devices themselves, as well as experimental and statisticalAlthough it is becoming increasingly popular to monitor parameters related to training, recovery, and health with wearable sensor technology (wearables), scientific evaluation of the reliability, sensitivity, and validity of such data is limited and, where available, has involved a wide variety of approaches. To improve the trustworthiness of data collected by wearables and facilitate comparisons, we have outlined recommendations for standardized evaluation. We discuss the wearable devices themselves, as well as experimental and statistical considerations. Adherence to these recommendations should be beneficial not only for the individual, but also for regulatory organizations and insurance companies.…
Autor(en): | Peter Düking, Franz Konstantin Fuss, Hans-Christer Holmberg, Billy Sperlich |
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URN: | urn:nbn:de:bvb:20-opus-176202 |
Dokumentart: | Artikel / Aufsatz in einer Zeitschrift |
Institute der Universität: | Fakultät für Humanwissenschaften (Philos., Psycho., Erziehungs- u. Gesell.-Wissensch.) / Institut für Sportwissenschaft |
Sprache der Veröffentlichung: | Englisch |
Titel des übergeordneten Werkes / der Zeitschrift (Englisch): | JMIR Mhealth and Uhealth |
Erscheinungsjahr: | 2018 |
Band / Jahrgang: | 6 |
Heft / Ausgabe: | 4 |
Seitenangabe: | e102 |
Originalveröffentlichung / Quelle: | JMIR Mhealth and Uhealth 2018, 6(4), e102. DOI: 10.2196/mhealth.9341 |
DOI: | https://doi.org/10.2196/mhealth.9341 |
Allgemeine fachliche Zuordnung (DDC-Klassifikation): | 7 Künste und Unterhaltung / 79 Sport, Spiele, Unterhaltung / 796 Sportarten, Sportspiele |
Freie Schlagwort(e): | activity tracker; data mining; internet of things; load management; physical activity; smartwatch |
Datum der Freischaltung: | 22.02.2019 |
Sammlungen: | Open-Access-Publikationsfonds / Förderzeitraum 2018 |
Lizenz (Deutsch): | CC BY: Creative-Commons-Lizenz: Namensnennung 4.0 International |