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Measuring Sedentary Behavior by Means of Muscular Activity and Accelerometry
Sedentary Behavior (SB) is among the most frequent human behaviors and is associated with a plethora of serious chronic lifestyle diseases as well as premature death. Office workers in particular are at an increased risk due to their extensive amounts of occupational SB. However, we still lack an ob...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6263709/ https://www.ncbi.nlm.nih.gov/pubmed/30453605 http://dx.doi.org/10.3390/s18114010 |
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author | Kuster, Roman P. Huber, Mirco Hirschi, Silas Siegl, Walter Baumgartner, Daniel Hagströmer, Maria Grooten, Wim |
author_facet | Kuster, Roman P. Huber, Mirco Hirschi, Silas Siegl, Walter Baumgartner, Daniel Hagströmer, Maria Grooten, Wim |
author_sort | Kuster, Roman P. |
collection | PubMed |
description | Sedentary Behavior (SB) is among the most frequent human behaviors and is associated with a plethora of serious chronic lifestyle diseases as well as premature death. Office workers in particular are at an increased risk due to their extensive amounts of occupational SB. However, we still lack an objective method to measure SB consistent with its definition. We have therefore developed a new measurement system based on muscular activity and accelerometry. The primary aim of the present study was to calibrate the new-developed 8-CH-EMG+ for measuring occupational SB against an indirect calorimeter during typical desk-based office work activities. In total, 25 volunteers performed nine office tasks at three typical workplaces. Minute-by-minute posture and activity classification was performed using subsequent decision trees developed with artificial intelligence data processing techniques. The 8-CH-EMG+ successfully identified all sitting episodes (AUC = 1.0). Furthermore, depending on the number of electromyography channels included, the device has a sensitivity of 83–98% and 74–98% to detect SB and active sitting (AUC = 0.85–0.91). The 8-CH-EMG+ advances the field of objective SB measurements by combining accelerometry with muscular activity. Future field studies should consider the use of EMG sensors to record SB in line with its definition. |
format | Online Article Text |
id | pubmed-6263709 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-62637092018-12-12 Measuring Sedentary Behavior by Means of Muscular Activity and Accelerometry Kuster, Roman P. Huber, Mirco Hirschi, Silas Siegl, Walter Baumgartner, Daniel Hagströmer, Maria Grooten, Wim Sensors (Basel) Article Sedentary Behavior (SB) is among the most frequent human behaviors and is associated with a plethora of serious chronic lifestyle diseases as well as premature death. Office workers in particular are at an increased risk due to their extensive amounts of occupational SB. However, we still lack an objective method to measure SB consistent with its definition. We have therefore developed a new measurement system based on muscular activity and accelerometry. The primary aim of the present study was to calibrate the new-developed 8-CH-EMG+ for measuring occupational SB against an indirect calorimeter during typical desk-based office work activities. In total, 25 volunteers performed nine office tasks at three typical workplaces. Minute-by-minute posture and activity classification was performed using subsequent decision trees developed with artificial intelligence data processing techniques. The 8-CH-EMG+ successfully identified all sitting episodes (AUC = 1.0). Furthermore, depending on the number of electromyography channels included, the device has a sensitivity of 83–98% and 74–98% to detect SB and active sitting (AUC = 0.85–0.91). The 8-CH-EMG+ advances the field of objective SB measurements by combining accelerometry with muscular activity. Future field studies should consider the use of EMG sensors to record SB in line with its definition. MDPI 2018-11-17 /pmc/articles/PMC6263709/ /pubmed/30453605 http://dx.doi.org/10.3390/s18114010 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Kuster, Roman P. Huber, Mirco Hirschi, Silas Siegl, Walter Baumgartner, Daniel Hagströmer, Maria Grooten, Wim Measuring Sedentary Behavior by Means of Muscular Activity and Accelerometry |
title | Measuring Sedentary Behavior by Means of Muscular Activity and Accelerometry |
title_full | Measuring Sedentary Behavior by Means of Muscular Activity and Accelerometry |
title_fullStr | Measuring Sedentary Behavior by Means of Muscular Activity and Accelerometry |
title_full_unstemmed | Measuring Sedentary Behavior by Means of Muscular Activity and Accelerometry |
title_short | Measuring Sedentary Behavior by Means of Muscular Activity and Accelerometry |
title_sort | measuring sedentary behavior by means of muscular activity and accelerometry |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6263709/ https://www.ncbi.nlm.nih.gov/pubmed/30453605 http://dx.doi.org/10.3390/s18114010 |
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