TY - JOUR A1 - Helmer, Philipp A1 - Hottenrott, Sebastian A1 - Rodemers, Philipp A1 - Leppich, Robert A1 - Helwich, Maja A1 - Pryss, Rüdiger A1 - Kranke, Peter A1 - Meybohm, Patrick A1 - Winkler, Bernd E. A1 - Sammeth, Michael T1 - Accuracy and Systematic Biases of Heart Rate Measurements by Consumer-Grade Fitness Trackers in Postoperative Patients: Prospective Clinical Trial JF - Journal of Medical Internet Research N2 - Background: Over the recent years, technological advances of wrist-worn fitness trackers heralded a new era in the continuous monitoring of vital signs. So far, these devices have primarily been used for sports. Objective: However, for using these technologies in health care, further validations of the measurement accuracy in hospitalized patients are essential but lacking to date. Methods: We conducted a prospective validation study with 201 patients after moderate to major surgery in a controlled setting to benchmark the accuracy of heart rate measurements in 4 consumer-grade fitness trackers (Apple Watch 7, Garmin Fenix 6 Pro, Withings ScanWatch, and Fitbit Sense) against the clinical gold standard (electrocardiography). Results: All devices exhibited high correlation (r≥0.95; P<.001) and concordance (rc≥0.94) coefficients, with a relative error as low as mean absolute percentage error <5% based on 1630 valid measurements. We identified confounders significantly biasing the measurement accuracy, although not at clinically relevant levels (mean absolute error<5 beats per minute). Conclusions: Consumer-grade fitness trackers appear promising in hospitalized patients for monitoring heart rate. KW - Withings ScanWatch KW - health tracker KW - smartwatch KW - internet of things KW - personalized medicine KW - photoplethysmography KW - wearable KW - Garmin Fenix 6 Pro KW - Apple Watch 7 KW - Fitbit Sense Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-299679 VL - 24 IS - 12 ER - TY - JOUR A1 - Düking, Peter A1 - Fuss, Franz Konstantin A1 - Holmberg, Hans-Christer A1 - Sperlich, Billy T1 - Recommendations for assessment of the reliability, sensitivity, and validity of data provided by wearable sensors designed for monitoring physical activity JF - JMIR Mhealth and Uhealth N2 - 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 statistical considerations. Adherence to these recommendations should be beneficial not only for the individual, but also for regulatory organizations and insurance companies. KW - internet of things KW - activity tracker KW - data mining KW - load management KW - physical activity KW - smartwatch Y1 - 2018 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-176202 VL - 6 IS - 4 ER -