Validity of Multisensor Array for Measuring Energy Expenditure of an Activity Bout in Early Stroke Survivors
Hindawi
Stroke Research and Treatment
Volume 2018, Article ID 9134547, 8 pages
https://doi.org/10.1155/2018/9134547
Research Article
Validity of Multisensor Array for Measuring Energy Expenditure
of an Activity Bout in Early Stroke Survivors
Sharon Flora Kramer ,1,2 Liam Johnson,1,2,3 Julie Bernhardt,1,2 and Toby Cumming1,2
1
Stroke Division, Florey Department, The Florey Institute of Neuroscience and Mental Health, University of Melbourne,
Melbourne, VIC, Australia
2
NHMRC Centre of Research Excellence in Stroke Rehabilitation and Brain Recovery, The Florey Institute of Neuroscience and
Mental Health, Melbourne, VIC, Australia
3
Institute of Sport, Exercise and Active Living (ISEAL), Victoria University, Melbourne, VIC, Australia
Correspondence should be addressed to Sharon Flora Kramer;
Received 14 August 2017; Revised 4 January 2018; Accepted 22 January 2018; Published 7 March 2018
Academic Editor: David Vaudry
Copyright © 2018 Sharon Flora Kramer et al. This is an open access article distributed under the Creative Commons Attribution
License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly
cited.
Introduction. Stroke survivors use more energy than healthy people during activities such as walking, which has consequences
for the way exercise is prescribed for stroke survivors. There is a need for wearable device that can validly measure energy
expenditure (EE) of activity to inform exercise prescription early after stroke. We aimed to determine the validity and reliability of
the SenseWear-Armband (SWA) to measure EE and step-counts during activity <1 month after stroke. Materials and Methods. EE
was measured using the SWA and metabolic cart and steps-counts were measured using the SWA and direct observation. Based on
walking ability, participants performed 2x six-minute walks or repeated sit-to-stands. Concurrent validity and test-retest reliability
were determined by calculating intraclass and concordance correlation coefficients. Results and Discussion. Thirteen participants
walked; nine performed sit-to-stands. Validity of the SWA measuring EE for both activities was poor (ICC/CCC < 0.40). The SWA
overestimates EE during walking and underestimated EE during sit-to-stands. Test-retest agreement showed an ICC/CCC of <0.40
and >0.75 for walking and sit-to-stand, respectively. However, agreement levels changed with increasing EE levels (i.e., proportional
bias). The SWA did not accurately measure step-counts. Conclusion. The SWA should be used with caution to measure EE of activity
of mild to moderate stroke survivors <1 month after stroke.
1. Introduction
Cardiorespiratory fitness levels are low early after stroke
(i.e., <1 month since stroke onset), with fitness levels of
stroke survivors ranging from 44% to 76% that of ageand sex-matched sedentary healthy adults [1–3]. In stroke
survivors, exercising at a moderate intensity, progressing
to high intensity can elicit a cardiorespiratory training
effect leading to improved cardiorespiratory fitness [4]. Our
recent systematic review results showed that walking is more
effortful for stroke survivors compared to healthy controls
based on energy expenditure (EE) levels; and in some stroke
survivors slow walking equals moderate intensity activity [5],
which could lead to improvements in cardiovascular fitness.
Understanding the EE of activities can inform development
of exercise interventions in stroke survivors.
Indirect calorimetry using a metabolic cart is commonly
used to measure the EE of physical activities. The metabolic
cart measures the volume of oxygen uptake (VO2 ) using
breath-by-breath analyses and has been shown to be a
valid measure of VO2 uptake during different workloads in
sedentary adults, moderately trained individuals, and athletes
[6]. The development of mobile metabolic carts has extended
the measurement from stationary activities (e.g., cycling on
an ergometer or walking on a treadmill) to unfixed activities
(e.g., overground walking). This more flexible method, while
considered “gold standard,” remains cumbersome and costly
and needs a trained staff member to operate the machine. It is
2
not readily usable in an acute clinical stroke setting. Sensorbased technology, including wearable devices, may be a lowcost, noninvasive, and broadly applicable tool to measure the
EE of physical activity in the clinic early after stroke, provided
it is valid and reliable.
In a recent systematic review 60 different devices to
measure physical activity in stroke were identified [7]. Of
these devices, three had the potential to measure EE: the Actical (Koninklijke Philips NV), Body fixed sensor (Physilog,
BioAGM), and the SenseWear Pro3 (Bodymedia Inc). The
SenseWear (SWA) is worn on the upper arm and is the
only multisensor device that includes accelerometer data as
well as near body temperature, heat flux, and galvanic skin
responses. Moore et al. showed that the SWA measure of daily
EE, when worn on the unaffected arm (SWAunaffected ), was
highly correlated with doubly labelled water (gold standard)
in chronic stroke survivors (2473 ± 468 versus 2380 ±
551 kcal/day, resp.) [8]. EE during walking measured by
the SWAunaffected showed good agreement (ICC > 0.70) and
the SWAaffected showed fair agreement (ICC < 0.60) with a
metabolic cart in chronic stroke survivors, suggesting that
the SWA worn on the unaffected arm gives a more accurate
estimate of EE during walking [9]. In the same study, the
authors reported that the SWA step-count measures appear
to be less promising [9]. It is unclear whether the easy-toapply SWA device is a reliable and valid marker of EE in those
with acute stroke. We wanted to determine the validity and
reliability of the SWAunaffected to measure EE during activity
in people with acute stroke, that is, within the first month after
stroke.
This study is a part of a larger study in which we aimed
to compare EE of acute stroke survivors to healthy controls.
In this paper we will only discuss the result regarding the
validity and reliability of the SWAunaffected . Using a mobile
metabolic cart as a gold standard we sought to determine the
concurrent validity and reliability of SWA measures of EE
during a physical activity in stroke survivors whose stroke
onset was less than 1 month ago. We hypothesised that the
SWAunaffected is a valid and reliable tool to estimate EE during
activity in acute stroke survivors.
2. Material and Methods
2.1. Participants. Stroke survivors admitted to the acute
stroke ward at the Austin Hospital in Melbourne, Australia,
were eligible to participate if they met the following criteria:
(1) >18 years of age, (2) being within 1 month after stroke,
(3) clinically diagnosed with stroke, (4) cognitively able to
consent as assessed by the treating clinician, (5) sufficient
English language command to follow complex instructions,
and (6) medically cleared to participate by their treating
clinician (...truncated)