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

11 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
PublisherIEEE Institute of Electrical and Electronic Engineers
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 Dive into the research topics of 'Sleep-wake detection based on respiratory signal acquired through a Pressure Bed Sensor'. Together they form a unique fingerprint.

Cite this