Literature DB >> 29067851

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

Stéphane Mandigout1, Justine Lacroix1, Béatrice Ferry1, Nicolas Vuillerme2,3, Maxence Compagnat1, Jean-Christophe Daviet1.   

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.

Entities:  

Keywords:  Wearable sensor; energy expenditure; monitoring; physical activity; stroke

Mesh:

Year:  2017        PMID: 29067851     DOI: 10.1177/2047487317738593

Source DB:  PubMed          Journal:  Eur J Prev Cardiol        ISSN: 2047-4873            Impact factor:   7.804


  5 in total

1.  Use of actigraphy to characterize inactivity and activity in patients in a medical ICU.

Authors:  Prerna Gupta; Jennifer L Martin; Dale M Needham; Sitaram Vangala; Elizabeth Colantuoni; Biren B Kamdar
Journal:  Heart Lung       Date:  2020-02-24       Impact factor: 2.210

2.  Establishing Accelerometer Cut-Points to Classify Walking Speed in People Post Stroke.

Authors:  David Moulaee Conradsson; Lucian John-Ross Bezuidenhout
Journal:  Sensors (Basel)       Date:  2022-05-27       Impact factor: 3.847

3.  Wearable Sensors in Ambulatory Individuals With a Spinal Cord Injury: From Energy Expenditure Estimation to Activity Recommendations.

Authors:  Werner L Popp; Sophie Schneider; Jessica Bär; Philipp Bösch; Christina M Spengler; Roger Gassert; Armin Curt
Journal:  Front Neurol       Date:  2019-11-01       Impact factor: 4.003

4.  Monitoring functional capacity in heart failure.

Authors:  Massimo F Piepoli; Ilaria Spoletini; Giuseppe Rosano
Journal:  Eur Heart J Suppl       Date:  2019-12-31       Impact factor: 1.803

Review 5.  Accuracy and Acceptability of Wrist-Wearable Activity-Tracking Devices: Systematic Review of the Literature.

Authors:  Federico Germini; Noella Noronha; Victoria Borg Debono; Binu Abraham Philip; Drashti Pete; Tamara Navarro; Arun Keepanasseril; Sameer Parpia; Kerstin de Wit; Alfonso Iorio
Journal:  J Med Internet Res       Date:  2022-01-21       Impact factor: 5.428

  5 in total

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