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

Giulia Tacchino; Guillermina Guerrero; Juha M. Kortelainen; Anna M. Bianchi

doi:10.1007/978-3-319-00846-2_199

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

Giulia Tacchino, Guillermina Guerrero, Juha M. Kortelainen, Anna M. Bianchi

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-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 language	English
Title of host publication	XIII Mediterranean Conference on Medical and Biological Engineering and Computing 2013
Editors	Laura M. Roa Romero
Place of Publication	Cham
Publisher	Springer
Pages	803-806
ISBN (Electronic)	978-3-319-00846-2
ISBN (Print)	978-3-319-00845-5
DOIs	https://doi.org/10.1007/978-3-319-00846-2_199
Publication status	Published - 2014
MoE publication type	A4 Article in a conference publication
Event	13th Mediterranean Conference on Medical and Biological Engineering and Computing 2013, MEDICON 2013 - Seville, Spain Duration: 25 Sept 2013 → 28 Sept 2013

Publication series

Series	IFMBE Proceedings
Volume	41
ISSN	1680-0737

Conference

Conference	13th Mediterranean Conference on Medical and Biological Engineering and Computing 2013, MEDICON 2013
Abbreviated title	MEDICON 2013
Country/Territory	Spain
City	Seville
Period	25/09/13 → 28/09/13

Keywords

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

Access to Document

10.1007/978-3-319-00846-2_199

Cite this

Tacchino, G., Guerrero, G., Kortelainen, J. M., & Bianchi, A. M. (2014). Spectral Parameters from Pressure Bed Sensor Respiratory Signal to Discriminate Sleep Epochs with Respiratory Events. In L. M. Roa Romero (Ed.), XIII Mediterranean Conference on Medical and Biological Engineering and Computing 2013 (pp. 803-806). Springer. IFMBE Proceedings Vol. 41 https://doi.org/10.1007/978-3-319-00846-2_199

Tacchino, Giulia ; Guerrero, Guillermina ; Kortelainen, Juha M. et al. / Spectral Parameters from Pressure Bed Sensor Respiratory Signal to Discriminate Sleep Epochs with Respiratory Events. XIII Mediterranean Conference on Medical and Biological Engineering and Computing 2013. editor / Laura M. Roa Romero. Cham : Springer, 2014. pp. 803-806 (IFMBE Proceedings, Vol. 41).

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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",

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

author = "Giulia Tacchino and Guillermina Guerrero and Kortelainen, {Juha M.} and Bianchi, {Anna M.}",

year = "2014",

doi = "10.1007/978-3-319-00846-2_199",

language = "English",

isbn = "978-3-319-00845-5",

series = "IFMBE Proceedings",

publisher = "Springer",

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booktitle = "XIII Mediterranean Conference on Medical and Biological Engineering and Computing 2013",

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Tacchino, G, Guerrero, G, Kortelainen, JM & Bianchi, AM 2014, Spectral Parameters from Pressure Bed Sensor Respiratory Signal to Discriminate Sleep Epochs with Respiratory Events. in LM Roa Romero (ed.), XIII Mediterranean Conference on Medical and Biological Engineering and Computing 2013. Springer, Cham, IFMBE Proceedings, vol. 41, 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, Giulia; Guerrero, Guillermina; Kortelainen, Juha M. et al.
XIII Mediterranean Conference on Medical and Biological Engineering and Computing 2013. ed. / Laura M. Roa Romero. Cham: Springer, 2014. p. 803-806 (IFMBE Proceedings, Vol. 41).

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

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AU - Bianchi, Anna M.

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N2 - 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

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

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

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Keywords

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