Evaluation of Pressure Bed Sensor for Automatic SAHS Screening

G. Guerrero Mora; Juha M. Kortelainen; E.R. Palacios Hernandez; M. Tenhunen; A.M. Bianchi; M.O. Méndez

doi:10.1109/TIM.2014.2366976

Evaluation of Pressure Bed Sensor for Automatic SAHS Screening

G. Guerrero Mora, Juha M. Kortelainen, E.R. Palacios Hernandez, M. Tenhunen, A.M. Bianchi, M.O. Méndez

Research output: Contribution to journal › Article › Scientific › peer-review

36 Citations (Scopus)

Abstract

We evaluate the performance of an unobtrusive sleep monitoring system in the detection of the sleep apnea- hypopnea syndrome (SAHS). The proposed system is a pressure bed sensor (PBS) that incorporates multiple pressure sensors into a bed mattress to measure several physiological signals of the sleeping subject: respiration; heart rate; and body movements. An automatic algorithm is developed to calculate a respiratory event index (REI). The recordings of 24 patients with suspected sleep problems are analyzed, and the results are compared with the gold standard methods; first with manual scoring of polysomnography to calculate the apnea-hypopnea index (AHI), and second with automatic detection of REI from the respiratory inductive plethysmography belts. The correlation coefficient between AHI and REI from PBS is up to 0.93. Evaluating the ability of PBS in the diagnosis of pathologic (AHI = 5) and nonpathologic (AHI

Original language	English
Pages (from-to)	1935-1943
Journal	IEEE Transactions on Instrumentation and Measurement
Volume	64
Issue number	7
DOIs	https://doi.org/10.1109/TIM.2014.2366976
Publication status	Published - 2015
MoE publication type	A1 Journal article-refereed

Keywords

Polysomnography (PSG)
pressure bed sensor (PBS)
respiration monitoring
sleep apnea-hypopnea syndrome (SAHS)
sleep monitoring
unattended portable monitor
unobtrusive measure

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10.1109/TIM.2014.2366976

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title = "Evaluation of Pressure Bed Sensor for Automatic SAHS Screening",

abstract = "We evaluate the performance of an unobtrusive sleep monitoring system in the detection of the sleep apnea- hypopnea syndrome (SAHS). The proposed system is a pressure bed sensor (PBS) that incorporates multiple pressure sensors into a bed mattress to measure several physiological signals of the sleeping subject: respiration; heart rate; and body movements. An automatic algorithm is developed to calculate a respiratory event index (REI). The recordings of 24 patients with suspected sleep problems are analyzed, and the results are compared with the gold standard methods; first with manual scoring of polysomnography to calculate the apnea-hypopnea index (AHI), and second with automatic detection of REI from the respiratory inductive plethysmography belts. The correlation coefficient between AHI and REI from PBS is up to 0.93. Evaluating the ability of PBS in the diagnosis of pathologic (AHI = 5) and nonpathologic (AHI",

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AU - Guerrero Mora, G.

AU - Kortelainen, Juha M.

AU - Palacios Hernandez, E.R.

AU - Tenhunen, M.

AU - Bianchi, A.M.

AU - Méndez, M.O.

PY - 2015

Y1 - 2015

N2 - We evaluate the performance of an unobtrusive sleep monitoring system in the detection of the sleep apnea- hypopnea syndrome (SAHS). The proposed system is a pressure bed sensor (PBS) that incorporates multiple pressure sensors into a bed mattress to measure several physiological signals of the sleeping subject: respiration; heart rate; and body movements. An automatic algorithm is developed to calculate a respiratory event index (REI). The recordings of 24 patients with suspected sleep problems are analyzed, and the results are compared with the gold standard methods; first with manual scoring of polysomnography to calculate the apnea-hypopnea index (AHI), and second with automatic detection of REI from the respiratory inductive plethysmography belts. The correlation coefficient between AHI and REI from PBS is up to 0.93. Evaluating the ability of PBS in the diagnosis of pathologic (AHI = 5) and nonpathologic (AHI

AB - We evaluate the performance of an unobtrusive sleep monitoring system in the detection of the sleep apnea- hypopnea syndrome (SAHS). The proposed system is a pressure bed sensor (PBS) that incorporates multiple pressure sensors into a bed mattress to measure several physiological signals of the sleeping subject: respiration; heart rate; and body movements. An automatic algorithm is developed to calculate a respiratory event index (REI). The recordings of 24 patients with suspected sleep problems are analyzed, and the results are compared with the gold standard methods; first with manual scoring of polysomnography to calculate the apnea-hypopnea index (AHI), and second with automatic detection of REI from the respiratory inductive plethysmography belts. The correlation coefficient between AHI and REI from PBS is up to 0.93. Evaluating the ability of PBS in the diagnosis of pathologic (AHI = 5) and nonpathologic (AHI

KW - Polysomnography (PSG)

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KW - sleep apnea-hypopnea syndrome (SAHS)

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JO - IEEE Transactions on Instrumentation and Measurement

JF - IEEE Transactions on Instrumentation and Measurement

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ER -

Evaluation of Pressure Bed Sensor for Automatic SAHS Screening

Abstract

Keywords

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