Spectral Parameters from Pressure Bed Sensor Respiratory Signal to Discriminate Sleep Epochs with Respiratory Events

G Tacchino, Guerrero, Juha M Kortelainen, A M Bianchi

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

Abstract

The Pressure Bed Sensor (PBS), which is presented as a contactless sensor for physiological signals recording, allows the acquisition of respiration movements signal. The aim of the present study is to identify spectral parameters from the PBS respiratory signal that allow the discrimination between normal and abnormal breathing epochs. The nasal airflow and the PBS respiratory signal acquired on 19 subjects were pre-processed in order to obtain their positive envelope signals. Both of them were analyzed by means of an optimized Time-Variant Autoregressive Model (TVAM). Total sleep time was divided into consecutive epochs of 60 s classified as normal and abnormal (at least one apnea or hypopnea). The mean Power Spectral Density (PSD) for each sleep epoch was estimated from the averaged TVAM coefficients. Spectral features were extracted from both the nasal airflow and the PBS respiratory signal. A statistically significant difference (p-value
Original languageEnglish
Title of host publicationIFMBE Proceedings
Subtitle of host publicationXIII Mediterranean Conference on Medical and Biological Engineering and Computing 2013
PublisherSpringer
Pages803-806
Volume41
ISBN (Print)978-331900845-5
DOIs
Publication statusPublished - 2014
MoE publication typeA4 Article in a conference publication
Event13th Mediterranean Conference on Medical and Biological Engineering and Computing 2013, MEDICON 2013 - Seville, Spain
Duration: 25 Sep 201328 Sep 2013

Publication series

Name
PublisherSpringer International Publishing Switzerland
Volume41

Conference

Conference13th Mediterranean Conference on Medical and Biological Engineering and Computing 2013, MEDICON 2013
Abbreviated titleMEDICON 2013
CountrySpain
CitySeville
Period25/09/1328/09/13

Fingerprint

Sleep
Pressure
Nose
Respiration
Apnea

Keywords

  • Non-obtrusive system
  • Pressure Bed Sensor (PBS)
  • Sleep-Disordered Breathing (SDB)
  • spectral features
  • Time-Variant Autoregressive Model (TVAM)

Cite this

Tacchino, G., Guerrero, Kortelainen, J. M., & Bianchi, A. M. (2014). Spectral Parameters from Pressure Bed Sensor Respiratory Signal to Discriminate Sleep Epochs with Respiratory Events. In IFMBE Proceedings: XIII Mediterranean Conference on Medical and Biological Engineering and Computing 2013 (Vol. 41, pp. 803-806). Springer. https://doi.org/10.1007/978-3-319-00846-2_199
Tacchino, G ; Guerrero, ; Kortelainen, Juha M ; Bianchi, A M. / Spectral Parameters from Pressure Bed Sensor Respiratory Signal to Discriminate Sleep Epochs with Respiratory Events. IFMBE Proceedings: XIII Mediterranean Conference on Medical and Biological Engineering and Computing 2013. Vol. 41 Springer, 2014. pp. 803-806
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abstract = "The Pressure Bed Sensor (PBS), which is presented as a contactless sensor for physiological signals recording, allows the acquisition of respiration movements signal. The aim of the present study is to identify spectral parameters from the PBS respiratory signal that allow the discrimination between normal and abnormal breathing epochs. The nasal airflow and the PBS respiratory signal acquired on 19 subjects were pre-processed in order to obtain their positive envelope signals. Both of them were analyzed by means of an optimized Time-Variant Autoregressive Model (TVAM). Total sleep time was divided into consecutive epochs of 60 s classified as normal and abnormal (at least one apnea or hypopnea). The mean Power Spectral Density (PSD) for each sleep epoch was estimated from the averaged TVAM coefficients. Spectral features were extracted from both the nasal airflow and the PBS respiratory signal. A statistically significant difference (p-value",
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Tacchino, G, Guerrero, , Kortelainen, JM & Bianchi, AM 2014, Spectral Parameters from Pressure Bed Sensor Respiratory Signal to Discriminate Sleep Epochs with Respiratory Events. in IFMBE Proceedings: XIII Mediterranean Conference on Medical and Biological Engineering and Computing 2013. vol. 41, Springer, pp. 803-806, 13th Mediterranean Conference on Medical and Biological Engineering and Computing 2013, MEDICON 2013, Seville, Spain, 25/09/13. https://doi.org/10.1007/978-3-319-00846-2_199

Spectral Parameters from Pressure Bed Sensor Respiratory Signal to Discriminate Sleep Epochs with Respiratory Events. / Tacchino, G; Guerrero, ; Kortelainen, Juha M; Bianchi, A M.

IFMBE Proceedings: XIII Mediterranean Conference on Medical and Biological Engineering and Computing 2013. Vol. 41 Springer, 2014. p. 803-806.

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

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Tacchino G, Guerrero , Kortelainen JM, Bianchi AM. Spectral Parameters from Pressure Bed Sensor Respiratory Signal to Discriminate Sleep Epochs with Respiratory Events. In IFMBE Proceedings: XIII Mediterranean Conference on Medical and Biological Engineering and Computing 2013. Vol. 41. Springer. 2014. p. 803-806 https://doi.org/10.1007/978-3-319-00846-2_199