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Updated: Jul 25, 2026
A Method for Quantifying Upper Limb Performance in Daily Life Using Accelerometers
Published on: April 21, 2017
MHealth devices demonstrate validity and reliability in detecting steps in chronic stroke survivors who rely on
Pollyana Helena Vieira Costa1, Leonardo Vinicius Thome Teixeira da Silva2, Thainá Paula Dias de Jesus1
1Department of Physical Therapy, Faculdade Ciências Médicas de Minas Gerais, Belo Horizonte, Brazil.
Purpose:
To assess the concurrent validity and reliability of five mHealth devices (STEPZ, Health, Pacer, Google Fit, and Fitbit Inc.®) in counting steps among individuals with chronic stroke using assistive devices (AD). Our primary objective was to identify significant variations in step counts between AD users and non-users.
Methods:
In a cross-sectional study, individuals performed a 2-min walking test while carrying two smartphones (Android OS and iOS) equipped with four different applications (STEPZ, Health, Pacer, and Google Fit), alongside a Fitbit Inc.® device. A visual video recording served as criterion-standard measure for step counting. Each participant completed four walking trials. Two proficient researchers conducted data collection in a controlled environment at a single day.
Results:
Twenty-four individuals were included. The devices were valid for individuals in individuals with chronic stroke who used AD (0.52 ≤ r ≥ 0.89), except for Health (iOS). There is no agreement between the criterion-standard and Health (iOS), and all other devices showed adequate reliability (0.107 ≤ CCI [2, 1] ≥ 0.701). There was no difference in stepping counting when the individuals used or not the AD.
Conclusions:
Health for iOS is neither valid nor reliable for individuals with chronic stroke who are AD users. There is no difference in step counting were when the individuals with chronic stroke are users or non-users of AD.
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