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European Journal of Preventive Cardiology
Article . 2017 . Peer-reviewed
License: SAGE TDM
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Can energy expenditure be accurately assessed using accelerometry-based wearable motion detectors for physical activity monitoring in post-stroke patients in the subacute phase?

Authors: Stéphane Mandigout; Nicolas Vuillerme; Nicolas Vuillerme; Béatrice Ferry; Maxence Compagnat; Jean-Christophe Daviet; Justine Lacroix;

Can energy expenditure be accurately assessed using accelerometry-based wearable motion detectors for physical activity monitoring in post-stroke patients in the subacute phase?

Abstract

Background In the subacute stroke phase, the monitoring of ambulatory activity and activities of daily life with wearable sensors may have relevant clinical applications. Do current commercially available wearable activity trackers allow us to objectively assess the energy expenditure of these activities? The objective of the present study was to compare the energy expenditure evaluated by indirect calorimetry during the course of a scenario consisting of everyday activities while estimating the energy expenditure using several commercialised wearable sensors in post-stroke patients (less than six months since stroke). Method Twenty-four patients (age 68.2 ± 13.9; post-stroke delay 34 ± 25 days) voluntarily participated in this study. Each patient underwent a scenario of various everyday tasks (transfer, walking, etc.). During the implementation, patients wore 14 wearable sensors (Armband, Actigraph GT3X, Actical, pedometer) to obtain an estimate of the energy expenditure. The actual energy expenditure was concurrently determined by indirect calorimetry. Results Except for the Armband worn on the non-plegic side, the results of our study show a significant difference between the energy expenditure values estimated by the various sensors and the actual energy expenditure when the scenario is considered as a whole. Conclusion The present results suggest that, for a series of everyday tasks, the wearable sensors underestimate the actual energy expenditure values in post-stroke patients in the subacute phase and are therefore not accurate. Several factors are likely to confound the results: types of activity, prediction equations, the position of the sensor and the hemiplegia side.

Country
France
Keywords

Male, Time Factors, physical activity, MESH: Aged, 80 and over, energy expenditure, Activities of Daily Living, 80 and over, MESH: Aged, Aged, 80 and over, MESH: Middle Aged, MESH: Energy Metabolism, 600, Middle Aged, stroke, MESH: Predictive Value of Tests, MESH: Reproducibility of Results, Stroke, Female, MESH: Calorimetry, Indirect, Adult, Indirect, MESH: Actigraphy, Fitness Trackers, MESH: Stroke, Predictive Value of Tests, Humans, MESH: Fitness Trackers, MESH: Calorimetry, Wearable sensor, Exercise, Aged, MESH: Humans, 660, MESH: Activities of Daily Living, MESH: Time Factors, Reproducibility of Results, MESH: Adult, Calorimetry, Indirect, Actigraphy, MESH: Male, monitoring, MESH: Exercise, Energy Metabolism, MESH: Female, [SDV.MHEP]Life Sciences [q-bio]/Human health and pathology, mesh: mesh:Energy Metabolism, mesh: mesh:Humans, mesh: mesh:Stroke, mesh: mesh:Aged, mesh: mesh:Calorimetry, Indirect, mesh: mesh:Predictive Value of Tests, mesh: mesh:Middle Aged, mesh: mesh:Actigraphy, mesh: mesh:Reproducibility of Results, mesh: mesh:Female, mesh: mesh:Aged, 80 and over, mesh: mesh:Male, mesh: mesh:Exercise, mesh: mesh:Activities of Daily Living, mesh: mesh:Time Factors, mesh: mesh:Adult, mesh: mesh:Fitness Trackers

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
27
Top 10%
Top 10%
Top 10%
bronze