Physical Activity Behavior of Patients at a Skilled Nursing Facility: Longitudinal Cohort Study.

ABSTRACT:

Background

On-body wearable sensors have been used to predict adverse outcomes such as hospitalizations or fall, thereby enabling clinicians to develop better intervention guidelines and personalized models of care to prevent harmful outcomes. In our previous work, we introduced a generic remote patient monitoring framework (Sensing At-Risk Population) that draws on the classification of human movements using a 3-axial accelerometer and the extraction of indoor localization using Bluetooth low energy beacons, in concert. Using the same framework, this paper addresses the longitudinal analyses of a group of patients in a skilled nursing facility. We try to investigate if the metrics derived from a remote patient monitoring system comprised of physical activity and indoor localizatio

SUBMITTER: Ramezani R 

PROVIDER: S-EPMC9171595 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature