Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 1 de 1
Filter
Add more filters










Database
Language
Publication year range
1.
PLoS One ; 13(2): e0191556, 2018.
Article in English | MEDLINE | ID: mdl-29444105

ABSTRACT

The purpose of this study was to evaluate whether consumer-level activity trackers can estimate wheelchair strokes and arm ergometer revolutions. Thirty able-bodied participants wore three consumer-level activity trackers (Garmin VivoFit, FitBit Flex, and Jawbone UP24) on the wrist. Participants propelled a wheelchair at fixed frequencies (30, 45 and 60 strokes per minute (spm)) three minutes each and at pre-determined varied frequencies, (30-80 spm) for two minutes. Participants also freely wheeled through an obstacle course. 10 other participants performed arm-ergometry at 40, 60 and 80 revolutions per minute (rpm), for three minutes each. Mean percentage error (MPE(SD)) for 30 spm were ≥46(26)% for all monitors, and declined to 3-6(2-7)% at 60 spm. For the obstacle course, MPE ranged from 12-17(7-13)% for all trackers. For arm-ergometry, MPE was at 1-96(0-37)% with the best measurement for the Fitbit at 60 and 80 rpm, and the Garmin at 80rpm, with MPE = 1(0-1)%. The consumer-level wrist-worn activity trackers we tested have higher accuracy/precision at higher movement frequencies but perform poorly at lower frequencies.


Subject(s)
Actigraphy , Arm/physiology , Ergonomics , Stroke/diagnosis , Wheelchairs , Humans , Reproducibility of Results , Task Performance and Analysis
SELECTION OF CITATIONS
SEARCH DETAIL
...