Optimal Sampling Frequency for Wearable Sensor Data in Arthroplasty Outcomes Research. A Prospective Observational Cohort Trial

Wearable sensors can track patient activity after surgery. The optimal data sampling frequency to identify an association between patient-reported outcome measures (PROMs) and sensor data is unknown. Most commercial grade sensors report 24-hour average data. We hypothesize that increasing the freque...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	The Journal of arthroplasty 2019-10, Vol.34 (10), p.2248-2252
Hauptverfasser:	Shah, Romil F., Zaid, Musa B., Bendich, Ilya, Hwang, Kevin M., Patterson, Joseph T., Bini, Stefano A.
Format:	Artikel
Sprache:	eng
Schlagworte:	machine learning patient-reported outcomes sensors total joint arthroplasty wearables
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!