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

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

8 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 languageEnglish
Title of host publication2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2012
PublisherInstitute of Electrical and Electronic Engineers IEEE
Pages3452-3455
Number of pages4
ISBN (Print)978-1-4244-4119-8
DOIs
Publication statusPublished - 14 Dec 2012
MoE publication typeNot Eligible
Event34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2012 - San Diego, CA, United States
Duration: 28 Aug 20121 Sep 2012

Conference

Conference34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2012
CountryUnited States
CitySan Diego, CA
Period28/08/121/09/12

Fingerprint

Sleep
Pressure
Sensors
Time series
Polysomnography
Sleep Apnea Syndromes
Healthy Volunteers
Databases

Cite this

Guerrero-Mora, G., Elvia, P., Bianchi, A. M., Kortelainen, J., Tenhunen, M., Himanen, S. L., ... 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). [6346708] Institute of Electrical and Electronic Engineers IEEE. https://doi.org/10.1109/EMBC.2012.6346708
Guerrero-Mora, G. ; Elvia, Palacios ; Bianchi, A. M. ; Kortelainen, J. ; Tenhunen, M. ; Himanen, S. L. ; Mendez, M. O. ; Arce-Santana, E. ; Gutierrez-Navarro, O. / Sleep-wake detection based on respiratory signal acquired through a Pressure Bed Sensor. 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2012. Institute of Electrical and Electronic Engineers IEEE, 2012. pp. 3452-3455
@inproceedings{70f5bd6ad3544ee09affc16cc2a1adf2,
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",
year = "2012",
month = "12",
day = "14",
doi = "10.1109/EMBC.2012.6346708",
language = "English",
isbn = "978-1-4244-4119-8",
pages = "3452--3455",
booktitle = "2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2012",
publisher = "Institute of Electrical and Electronic Engineers IEEE",
address = "United States",

}

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, Institute of Electrical and Electronic Engineers IEEE, 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.; Kortelainen, J.; Tenhunen, M.; Himanen, S. L.; Mendez, M. O.; Arce-Santana, E.; Gutierrez-Navarro, O.

2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2012. Institute of Electrical and Electronic Engineers IEEE, 2012. p. 3452-3455 6346708.

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

TY - GEN

T1 - Sleep-wake detection based on respiratory signal acquired through a Pressure Bed Sensor

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

UR - http://www.scopus.com/inward/record.url?scp=84870857648&partnerID=8YFLogxK

U2 - 10.1109/EMBC.2012.6346708

DO - 10.1109/EMBC.2012.6346708

M3 - Conference article in proceedings

AN - SCOPUS:84870857648

SN - 978-1-4244-4119-8

SP - 3452

EP - 3455

BT - 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2012

PB - Institute of Electrical and Electronic Engineers IEEE

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. Institute of Electrical and Electronic Engineers IEEE. 2012. p. 3452-3455. 6346708 https://doi.org/10.1109/EMBC.2012.6346708