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Validity of an algorithm for determining sleep/wake states using a new actigraph

BACKGROUND: This study aimed to develop an algorithm for determining sleep/wake states by using chronological data on the amount of physical activity (activity intensity) measured with the FS-750 actigraph, a device that can be worn at the waist, allows for its data to be downloaded at home, and is...

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Autores principales: Nakazaki, Kyoko, Kitamura, Shingo, Motomura, Yuki, Hida, Akiko, Kamei, Yuichi, Miura, Naoki, Mishima, Kazuo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4203879/
https://www.ncbi.nlm.nih.gov/pubmed/25282356
http://dx.doi.org/10.1186/1880-6805-33-31
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author Nakazaki, Kyoko
Kitamura, Shingo
Motomura, Yuki
Hida, Akiko
Kamei, Yuichi
Miura, Naoki
Mishima, Kazuo
author_facet Nakazaki, Kyoko
Kitamura, Shingo
Motomura, Yuki
Hida, Akiko
Kamei, Yuichi
Miura, Naoki
Mishima, Kazuo
author_sort Nakazaki, Kyoko
collection PubMed
description BACKGROUND: This study aimed to develop an algorithm for determining sleep/wake states by using chronological data on the amount of physical activity (activity intensity) measured with the FS-750 actigraph, a device that can be worn at the waist, allows for its data to be downloaded at home, and is suitable for use in both sleep research and remote sleep medicine. METHODS: Participants were 34 healthy young adults randomly assigned to two groups, A (n =17) and B (n =17), who underwent an 8-hour polysomnography (PSG) in the laboratory environment. Simultaneous activity data were obtained using the FS-750 attached at the front waist. Sleep/wake state and activity intensity were calculated every 2 minutes (1 epoch). To determine the central epoch of the sleep/wake states (x), a five-variable linear model was developed using the activity intensity of Group A for five epochs (x(-2), x(-1), x, x(+1), x(+2); 10 minutes). The optimal coefficients were calculated using discriminant analysis. The agreement rate of the developed algorithm was then retested with Group B, and its validity was examined. RESULTS: The overall agreement rates for group A and group B calculated using the sleep/wake score algorithm developed were 84.7% and 85.4%, respectively. Mean sensitivity (agreement rate for sleep state) was 88.3% and 90.0% and mean specificity (agreement rate for wakeful state) was 66.0% and 64.9%, respectively. These results confirmed comparable agreement rates between the two groups. Furthermore, when applying an estimation rule developed for the sleep parameters measured by the FS-750, no differences were found in the average values between the calculated scores and PSG results, and we also observed a correlation between the two sets of results. Thus, the validity of these evaluation indices based on measurements from the FS-750 is confirmed. CONCLUSIONS: The developed algorithm could determine sleep/wake states from activity intensity data obtained with the FS-750 with sensitivity and specificity equivalent to that determined with conventional actigraphs. The FS-750, which is smaller, less expensive, and able to take measurements over longer periods than conventional devices, is a promising tool for advancing sleep studies at home and in remote sleep medicine.
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spelling pubmed-42038792014-10-22 Validity of an algorithm for determining sleep/wake states using a new actigraph Nakazaki, Kyoko Kitamura, Shingo Motomura, Yuki Hida, Akiko Kamei, Yuichi Miura, Naoki Mishima, Kazuo J Physiol Anthropol Methodology Article BACKGROUND: This study aimed to develop an algorithm for determining sleep/wake states by using chronological data on the amount of physical activity (activity intensity) measured with the FS-750 actigraph, a device that can be worn at the waist, allows for its data to be downloaded at home, and is suitable for use in both sleep research and remote sleep medicine. METHODS: Participants were 34 healthy young adults randomly assigned to two groups, A (n =17) and B (n =17), who underwent an 8-hour polysomnography (PSG) in the laboratory environment. Simultaneous activity data were obtained using the FS-750 attached at the front waist. Sleep/wake state and activity intensity were calculated every 2 minutes (1 epoch). To determine the central epoch of the sleep/wake states (x), a five-variable linear model was developed using the activity intensity of Group A for five epochs (x(-2), x(-1), x, x(+1), x(+2); 10 minutes). The optimal coefficients were calculated using discriminant analysis. The agreement rate of the developed algorithm was then retested with Group B, and its validity was examined. RESULTS: The overall agreement rates for group A and group B calculated using the sleep/wake score algorithm developed were 84.7% and 85.4%, respectively. Mean sensitivity (agreement rate for sleep state) was 88.3% and 90.0% and mean specificity (agreement rate for wakeful state) was 66.0% and 64.9%, respectively. These results confirmed comparable agreement rates between the two groups. Furthermore, when applying an estimation rule developed for the sleep parameters measured by the FS-750, no differences were found in the average values between the calculated scores and PSG results, and we also observed a correlation between the two sets of results. Thus, the validity of these evaluation indices based on measurements from the FS-750 is confirmed. CONCLUSIONS: The developed algorithm could determine sleep/wake states from activity intensity data obtained with the FS-750 with sensitivity and specificity equivalent to that determined with conventional actigraphs. The FS-750, which is smaller, less expensive, and able to take measurements over longer periods than conventional devices, is a promising tool for advancing sleep studies at home and in remote sleep medicine. BioMed Central 2014-10-04 /pmc/articles/PMC4203879/ /pubmed/25282356 http://dx.doi.org/10.1186/1880-6805-33-31 Text en © Nakazaki et al.; licensee BioMed Central Ltd. 2014 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Methodology Article
Nakazaki, Kyoko
Kitamura, Shingo
Motomura, Yuki
Hida, Akiko
Kamei, Yuichi
Miura, Naoki
Mishima, Kazuo
Validity of an algorithm for determining sleep/wake states using a new actigraph
title Validity of an algorithm for determining sleep/wake states using a new actigraph
title_full Validity of an algorithm for determining sleep/wake states using a new actigraph
title_fullStr Validity of an algorithm for determining sleep/wake states using a new actigraph
title_full_unstemmed Validity of an algorithm for determining sleep/wake states using a new actigraph
title_short Validity of an algorithm for determining sleep/wake states using a new actigraph
title_sort validity of an algorithm for determining sleep/wake states using a new actigraph
topic Methodology Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4203879/
https://www.ncbi.nlm.nih.gov/pubmed/25282356
http://dx.doi.org/10.1186/1880-6805-33-31
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