Consumer Wearable Devices for Activity Monitoring Among Individuals After a Stroke: A Prospective Comparison

Gabriela M Rozanski; Anthony Aqui; Shajicaa Sivakumaran; Avril Mansfield

doi:10.2196/cardio.8199

Consumer Wearable Devices for Activity Monitoring Among Individuals After a Stroke: A Prospective Comparison

JMIR Cardio. 2018 Jan 4;2(1):e1. doi: 10.2196/cardio.8199.

Authors

Gabriela M Rozanski¹, Anthony Aqui¹, Shajicaa Sivakumaran¹, Avril Mansfield^{1

2

3

4}

Affiliations

¹ Mobility Team, Toronto Rehabilitation Institute-University Health Network, Toronto, ON, Canada.
² Department of Physical Therapy, University of Toronto, Toronto, ON, Canada.
³ Rehabilitation Sciences Institute, University of Toronto, Toronto, ON, Canada.
⁴ Evaluative Clinical Sciences, Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, ON, Canada.

Abstract

Background: Activity monitoring is necessary to investigate sedentary behavior after a stroke. Consumer wearable devices are an attractive alternative to research-grade technology, but measurement properties have not been established.

Objective: The purpose of this study was to determine the accuracy of 2 wrist-worn fitness trackers: Fitbit Charge HR (FBT) and Garmin Vivosmart (GAR).

Methods: Adults attending in- or outpatient therapy for stroke (n=37) wore FBT and GAR each on 2 separate days, in addition to an X6 accelerometer and Actigraph chest strap monitor. Step counts and heart rate data were extracted, and the agreement between devices was determined using Pearson or Spearman correlation and paired t or Wilcoxon signed rank tests (one- and two-sided). Subgroup analyses were conducted.

Results: Step counts from FBT and GAR positively correlated with the X6 accelerometer (ρ=.78 and ρ=.65, P<.001, respectively) but were significantly lower (P<.01). For individuals using a rollator, there was no significant correlation between step counts from the X6 accelerometer and either FBT (ρ=.42, P=.12) or GAR (ρ=.30, P=.27). Heart rate from Actigraph, FBT, and GAR demonstrated responsiveness to changes in activity. Both FBT and GAR positively correlated with Actigraph for average heart rate (r=.53 and .75, P<.01, respectively) and time in target zone (ρ=.49 and .74, P<.01, respectively); these measures were not significantly different, but nonequivalence was found.

Conclusions: FBT and GAR had moderate to strong correlation with best available reference measures of walking activity in individuals with subacute stroke. Accuracy appears to be lower among rollator users and varies according to heart rhythm. Consumer wearables may be a viable option for large-scale studies of physical activity.

Keywords: accelerometry; heart rate; physical activity; stroke rehabilitation; walking.

©Gabriela M Rozanski, Anthony Aqui, Shajicaa Sivakumaran, Avril Mansfield. Originally published in JMIR Cardio (http://cardio.jmir.org), 04.01.2018.