Assessment of SOMNOwatch plus EEG for sleep monitoring in healthy individuals

Bogdan Ioan Voinescu; Malgorzata Wislowska; Manuel Schabus

doi:10.1016/j.physbeh.2014.04.052

Assessment of SOMNOwatch plus EEG for sleep monitoring in healthy individuals

Bogdan Ioan Voinescu^*
, Malgorzata Wislowska
, Manuel Schabus

^*Corresponding author for this work

Bristol Medical School (PHS)

Research output: Contribution to journal › Article (Academic Journal) › peer-review

18 Citations (Scopus)

Abstract

Polysomnography (PSG) is still the standard in sleep monitoring, with several alternative solutions developed, including simplified electroencephalographic recorders such as SOMNOwatch plus EEG. In this study, we aimed to evaluate the validity of the recordings and of the analysis of the proprietary software of this solution, compared to PSG and semiautomatic scoring, respectively. From thirteen healthy adults, we recorded 27 nights simultaneously with a classical EEG amplifier (NeuroScan system) and the ambulatory SOMNOwatch plus EEG. Thereafter, we performed (semi-) automatic sleep analysis in Somnolyzer 24x7 and DOMINO Light (SOMNOwatch software). AASM scoring sensitivity of SOMNOwatch plus EEG, as revealed by Somnolyzer 24x7, was 97.79%, and specificity 87.19%. Paired T tests revealed no significant differences between the recordings of the two EEG systems, with intraclass correlation coefficients ranging from moderate to very good. When data were analyzed in DOMINO Light, sensitivity was 92.99% and specificity was 80.90%. Our data suggest that SOMNOwatch plus EEG might serve as a reliable instrument for recording sleep in healthy individuals, but its proprietary software, DOMINO Light, still seems to have weaknesses in terms of automatic sleep staging.

Original language	English
Pages (from-to)	73-78
Number of pages	6
Journal	Physiology and Behavior
Volume	132
DOIs	https://doi.org/10.1016/j.physbeh.2014.04.052
Publication status	Published - 10 Jun 2014

Bibliographical note

Funding Information:
Support for this work was provided by: a) the European Sleep Research Society through a grant from Sanofi , b) the Sectorial Operational Program for Human Resources Development 2007–2013, co-financed by the European Social Fund , POSDRU 89/1.5/S/60189 “Postdoctoral Programs for Sustainable Development in a Knowledge Based Society”, and c) the Austrian Science Fund ( FWF:P-21154-B18 and I-934 ). We also thank Tina Möckel and Marit Petzka, for their help in the participants' recruitment and sleep monitoring.

Keywords

Actigraph
Automatic sleep staging
Polysomnography
Portable device

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title = "Assessment of SOMNOwatch plus EEG for sleep monitoring in healthy individuals",

abstract = "Polysomnography (PSG) is still the standard in sleep monitoring, with several alternative solutions developed, including simplified electroencephalographic recorders such as SOMNOwatch plus EEG. In this study, we aimed to evaluate the validity of the recordings and of the analysis of the proprietary software of this solution, compared to PSG and semiautomatic scoring, respectively. From thirteen healthy adults, we recorded 27 nights simultaneously with a classical EEG amplifier (NeuroScan system) and the ambulatory SOMNOwatch plus EEG. Thereafter, we performed (semi-) automatic sleep analysis in Somnolyzer 24x7 and DOMINO Light (SOMNOwatch software). AASM scoring sensitivity of SOMNOwatch plus EEG, as revealed by Somnolyzer 24x7, was 97.79\%, and specificity 87.19\%. Paired T tests revealed no significant differences between the recordings of the two EEG systems, with intraclass correlation coefficients ranging from moderate to very good. When data were analyzed in DOMINO Light, sensitivity was 92.99\% and specificity was 80.90\%. Our data suggest that SOMNOwatch plus EEG might serve as a reliable instrument for recording sleep in healthy individuals, but its proprietary software, DOMINO Light, still seems to have weaknesses in terms of automatic sleep staging.",

keywords = "Actigraph, Automatic sleep staging, Polysomnography, Portable device",

author = "Voinescu, \{Bogdan Ioan\} and Malgorzata Wislowska and Manuel Schabus",

note = "Funding Information: Support for this work was provided by: a) the European Sleep Research Society through a grant from Sanofi , b) the Sectorial Operational Program for Human Resources Development 2007–2013, co-financed by the European Social Fund , POSDRU 89/1.5/S/60189 “Postdoctoral Programs for Sustainable Development in a Knowledge Based Society”, and c) the Austrian Science Fund ( FWF:P-21154-B18 and I-934 ). We also thank Tina M{\"o}ckel and Marit Petzka, for their help in the participants' recruitment and sleep monitoring.",

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doi = "10.1016/j.physbeh.2014.04.052",

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AU - Voinescu, Bogdan Ioan

AU - Wislowska, Malgorzata

AU - Schabus, Manuel

N1 - Funding Information: Support for this work was provided by: a) the European Sleep Research Society through a grant from Sanofi , b) the Sectorial Operational Program for Human Resources Development 2007–2013, co-financed by the European Social Fund , POSDRU 89/1.5/S/60189 “Postdoctoral Programs for Sustainable Development in a Knowledge Based Society”, and c) the Austrian Science Fund ( FWF:P-21154-B18 and I-934 ). We also thank Tina Möckel and Marit Petzka, for their help in the participants' recruitment and sleep monitoring.

PY - 2014/6/10

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N2 - Polysomnography (PSG) is still the standard in sleep monitoring, with several alternative solutions developed, including simplified electroencephalographic recorders such as SOMNOwatch plus EEG. In this study, we aimed to evaluate the validity of the recordings and of the analysis of the proprietary software of this solution, compared to PSG and semiautomatic scoring, respectively. From thirteen healthy adults, we recorded 27 nights simultaneously with a classical EEG amplifier (NeuroScan system) and the ambulatory SOMNOwatch plus EEG. Thereafter, we performed (semi-) automatic sleep analysis in Somnolyzer 24x7 and DOMINO Light (SOMNOwatch software). AASM scoring sensitivity of SOMNOwatch plus EEG, as revealed by Somnolyzer 24x7, was 97.79%, and specificity 87.19%. Paired T tests revealed no significant differences between the recordings of the two EEG systems, with intraclass correlation coefficients ranging from moderate to very good. When data were analyzed in DOMINO Light, sensitivity was 92.99% and specificity was 80.90%. Our data suggest that SOMNOwatch plus EEG might serve as a reliable instrument for recording sleep in healthy individuals, but its proprietary software, DOMINO Light, still seems to have weaknesses in terms of automatic sleep staging.

AB - Polysomnography (PSG) is still the standard in sleep monitoring, with several alternative solutions developed, including simplified electroencephalographic recorders such as SOMNOwatch plus EEG. In this study, we aimed to evaluate the validity of the recordings and of the analysis of the proprietary software of this solution, compared to PSG and semiautomatic scoring, respectively. From thirteen healthy adults, we recorded 27 nights simultaneously with a classical EEG amplifier (NeuroScan system) and the ambulatory SOMNOwatch plus EEG. Thereafter, we performed (semi-) automatic sleep analysis in Somnolyzer 24x7 and DOMINO Light (SOMNOwatch software). AASM scoring sensitivity of SOMNOwatch plus EEG, as revealed by Somnolyzer 24x7, was 97.79%, and specificity 87.19%. Paired T tests revealed no significant differences between the recordings of the two EEG systems, with intraclass correlation coefficients ranging from moderate to very good. When data were analyzed in DOMINO Light, sensitivity was 92.99% and specificity was 80.90%. Our data suggest that SOMNOwatch plus EEG might serve as a reliable instrument for recording sleep in healthy individuals, but its proprietary software, DOMINO Light, still seems to have weaknesses in terms of automatic sleep staging.

KW - Actigraph

KW - Automatic sleep staging

KW - Polysomnography

KW - Portable device

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DO - 10.1016/j.physbeh.2014.04.052

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SN - 0031-9384

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SP - 73

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JO - Physiology and Behavior

JF - Physiology and Behavior

ER -

Assessment of SOMNOwatch plus EEG for sleep monitoring in healthy individuals

Abstract

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Keywords

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