Sleep-wake detection based on respiratory signal acquired through a Pressure Bed Sensor

G. Guerrero-Mora; Palacios Elvia; A. M. Bianchi; J. Kortelainen; M. Tenhunen; S. L. Himanen; M. O. Mendez; E. Arce-Santana; O. Gutierrez-Navarro

doi:10.1109/EMBC.2012.6346708

Sleep-wake detection based on respiratory signal acquired through a Pressure Bed Sensor

G. Guerrero-Mora^*, Palacios Elvia, A. M. Bianchi, J. Kortelainen, M. Tenhunen, S. L. Himanen, M. O. Mendez, E. Arce-Santana, O. Gutierrez-Navarro

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

22 Citations (Scopus)

Abstract

This study proposes an automatic method for the sleep-wake staging in normal and pathologic sleep based only on respiratory effort acquired from a Pressure Bed Sensor (PBS). Motion and respiratory movements were obtained through a PBS and sleep-wake staging was evaluated from those time series. 20 all night polysomnographies, with annotations, used as gold standard and the time series coming from the PBS were used to develop and to evaluate the automatic wake-sleep staging. The database was built up by: 10 healthy subjects and 10 patients with severe sleep apnea. The agreement of the statistical measures between the automatic classification and the human scoring were: 83.59 ± 6.79 of sensitivity, 83.60 ± 15.13 of specificity and 81.91 ± 6.36 of accuracy. These results suggest that some important indexes, such as sleep efficiency, could be computed through a contactless technique

Original language	English
Title of host publication	2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2012
Publisher	IEEE Institute of Electrical and Electronic Engineers
Pages	3452-3455
Number of pages	4
ISBN (Print)	978-1-4244-4119-8
DOIs	https://doi.org/10.1109/EMBC.2012.6346708
Publication status	Published - 14 Dec 2012
MoE publication type	Not Eligible
Event	34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2012 - San Diego, CA, United States Duration: 28 Aug 2012 → 1 Sept 2012

Conference

Conference	34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2012
Country/Territory	United States
City	San Diego, CA
Period	28/08/12 → 1/09/12

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10.1109/EMBC.2012.6346708

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Guerrero-Mora, G., Elvia, P., Bianchi, A. M., Kortelainen, J., Tenhunen, M., Himanen, S. L., Mendez, M. O., Arce-Santana, E., & Gutierrez-Navarro, O. (2012). Sleep-wake detection based on respiratory signal acquired through a Pressure Bed Sensor. In 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2012 (pp. 3452-3455). Article 6346708 IEEE Institute of Electrical and Electronic Engineers. https://doi.org/10.1109/EMBC.2012.6346708

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title = "Sleep-wake detection based on respiratory signal acquired through a Pressure Bed Sensor",

abstract = "This study proposes an automatic method for the sleep-wake staging in normal and pathologic sleep based only on respiratory effort acquired from a Pressure Bed Sensor (PBS). Motion and respiratory movements were obtained through a PBS and sleep-wake staging was evaluated from those time series. 20 all night polysomnographies, with annotations, used as gold standard and the time series coming from the PBS were used to develop and to evaluate the automatic wake-sleep staging. The database was built up by: 10 healthy subjects and 10 patients with severe sleep apnea. The agreement of the statistical measures between the automatic classification and the human scoring were: 83.59 ± 6.79 of sensitivity, 83.60 ± 15.13 of specificity and 81.91 ± 6.36 of accuracy. These results suggest that some important indexes, such as sleep efficiency, could be computed through a contactless technique",

author = "G. Guerrero-Mora and Palacios Elvia and Bianchi, {A. M.} and J. Kortelainen and M. Tenhunen and Himanen, {S. L.} and Mendez, {M. O.} and E. Arce-Santana and O. Gutierrez-Navarro",

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doi = "10.1109/EMBC.2012.6346708",

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booktitle = "2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2012",

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address = "United States",

note = "34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2012 ; Conference date: 28-08-2012 Through 01-09-2012",

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Guerrero-Mora, G, Elvia, P, Bianchi, AM, Kortelainen, J, Tenhunen, M, Himanen, SL, Mendez, MO, Arce-Santana, E & Gutierrez-Navarro, O 2012, Sleep-wake detection based on respiratory signal acquired through a Pressure Bed Sensor. in 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2012., 6346708, IEEE Institute of Electrical and Electronic Engineers, pp. 3452-3455, 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2012, San Diego, CA, United States, 28/08/12. https://doi.org/10.1109/EMBC.2012.6346708

Sleep-wake detection based on respiratory signal acquired through a Pressure Bed Sensor. / Guerrero-Mora, G.; Elvia, Palacios; Bianchi, A. M. et al.
2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2012. IEEE Institute of Electrical and Electronic Engineers, 2012. p. 3452-3455 6346708.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

TY - GEN

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AU - Guerrero-Mora, G.

AU - Elvia, Palacios

AU - Bianchi, A. M.

AU - Kortelainen, J.

AU - Tenhunen, M.

AU - Himanen, S. L.

AU - Mendez, M. O.

AU - Arce-Santana, E.

AU - Gutierrez-Navarro, O.

PY - 2012/12/14

Y1 - 2012/12/14

N2 - This study proposes an automatic method for the sleep-wake staging in normal and pathologic sleep based only on respiratory effort acquired from a Pressure Bed Sensor (PBS). Motion and respiratory movements were obtained through a PBS and sleep-wake staging was evaluated from those time series. 20 all night polysomnographies, with annotations, used as gold standard and the time series coming from the PBS were used to develop and to evaluate the automatic wake-sleep staging. The database was built up by: 10 healthy subjects and 10 patients with severe sleep apnea. The agreement of the statistical measures between the automatic classification and the human scoring were: 83.59 ± 6.79 of sensitivity, 83.60 ± 15.13 of specificity and 81.91 ± 6.36 of accuracy. These results suggest that some important indexes, such as sleep efficiency, could be computed through a contactless technique

AB - This study proposes an automatic method for the sleep-wake staging in normal and pathologic sleep based only on respiratory effort acquired from a Pressure Bed Sensor (PBS). Motion and respiratory movements were obtained through a PBS and sleep-wake staging was evaluated from those time series. 20 all night polysomnographies, with annotations, used as gold standard and the time series coming from the PBS were used to develop and to evaluate the automatic wake-sleep staging. The database was built up by: 10 healthy subjects and 10 patients with severe sleep apnea. The agreement of the statistical measures between the automatic classification and the human scoring were: 83.59 ± 6.79 of sensitivity, 83.60 ± 15.13 of specificity and 81.91 ± 6.36 of accuracy. These results suggest that some important indexes, such as sleep efficiency, could be computed through a contactless technique

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ER -

Guerrero-Mora G, Elvia P, Bianchi AM, Kortelainen J, Tenhunen M, Himanen SL et al. Sleep-wake detection based on respiratory signal acquired through a Pressure Bed Sensor. In 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2012. IEEE Institute of Electrical and Electronic Engineers. 2012. p. 3452-3455. 6346708 doi: 10.1109/EMBC.2012.6346708

Sleep-wake detection based on respiratory signal acquired through a Pressure Bed Sensor

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