Evaluation of the Sleep Quality based on bed sensor signals: Time-Variant Analysis

Martin O. Mendez; Matteo Migliorini; Juha M. Kortelainen; Domenino Nistico; Edgar Arce-Santana; Sergio Cerutti; Anna M. Bianchi

doi:10.1109/IEMBS.2010.5628005

Evaluation of the Sleep Quality based on bed sensor signals: Time-Variant Analysis

Martin O. Mendez, Matteo Migliorini, Juha M. Kortelainen, Domenino Nistico, Edgar Arce-Santana, Sergio Cerutti, Anna M. Bianchi

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

10 Citations (Scopus)

Abstract

Automatic detection of the sleep macrostructure (Wake, NREM -non Rapid Eye Movement- and REM -Rapid Eye Movement-) based on bed sensor signals is presented. This study assesses the feasibility of different methodologies to evaluate the sleep quality out of sleep centers. The study compares a) the features extracted from time-variant autoregressive modeling (TVAM) and Wavelet Decomposition (WD) and b) the performance of K-Nearest Neighbor (KNN) and Feed Forward Neural Networks (FFNN) classifiers. In the current analysis, 17 full polysomnography recordings from healthy subjects were used. The best agreement for Wake- NREM-REM with respect to the gold standard was 71.95 ± 7.47% of accuracy and 0.42 ± 0.10 of kappa index for TVAMLD while WD-FFNN shows 67.17 ± 11.88% of accuracy and 0.39 ± 0.13 of kappa index. The results suggest that the sleep quality assessment out of sleep centers could be possible and as consequence more people could be beneficiated.

Original language	English
Title of host publication	2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10
Publisher	IEEE Institute of Electrical and Electronic Engineers
Pages	3994-3997
Number of pages	4
ISBN (Electronic)	978-1-4244-4124-2
ISBN (Print)	978-1-4244-4123-5
DOIs	https://doi.org/10.1109/IEMBS.2010.5628005
Publication status	Published - 2010
MoE publication type	A4 Article in a conference publication
Event	32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10 - Buenos Aires, Argentina Duration: 31 Aug 2010 → 4 Sept 2010

Conference

Conference	32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10
Abbreviated title	EMBC'10
Country/Territory	Argentina
City	Buenos Aires
Period	31/08/10 → 4/09/10

Keywords

feature extraction
sleep
indexes
heart rate variability
accuracy
monitoring
pathology

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10.1109/IEMBS.2010.5628005

Cite this

Mendez, M. O., Migliorini, M., Kortelainen, J. M., Nistico, D., Arce-Santana, E., Cerutti, S., & Bianchi, A. M. (2010). Evaluation of the Sleep Quality based on bed sensor signals: Time-Variant Analysis. In 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10 (pp. 3994-3997). Article 5628005 IEEE Institute of Electrical and Electronic Engineers. https://doi.org/10.1109/IEMBS.2010.5628005

@inproceedings{53416fc111c248cb9317172f05066499,

title = "Evaluation of the Sleep Quality based on bed sensor signals: Time-Variant Analysis",

abstract = "Automatic detection of the sleep macrostructure (Wake, NREM -non Rapid Eye Movement- and REM -Rapid Eye Movement-) based on bed sensor signals is presented. This study assesses the feasibility of different methodologies to evaluate the sleep quality out of sleep centers. The study compares a) the features extracted from time-variant autoregressive modeling (TVAM) and Wavelet Decomposition (WD) and b) the performance of K-Nearest Neighbor (KNN) and Feed Forward Neural Networks (FFNN) classifiers. In the current analysis, 17 full polysomnography recordings from healthy subjects were used. The best agreement for Wake- NREM-REM with respect to the gold standard was 71.95 ± 7.47% of accuracy and 0.42 ± 0.10 of kappa index for TVAMLD while WD-FFNN shows 67.17 ± 11.88% of accuracy and 0.39 ± 0.13 of kappa index. The results suggest that the sleep quality assessment out of sleep centers could be possible and as consequence more people could be beneficiated.",

keywords = "feature extraction, sleep, indexes, heart rate variability, accuracy, monitoring, pathology",

author = "Mendez, {Martin O.} and Matteo Migliorini and Kortelainen, {Juha M.} and Domenino Nistico and Edgar Arce-Santana and Sergio Cerutti and Bianchi, {Anna M.}",

note = "Project code: 18982; 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10, EMBC'10 ; Conference date: 31-08-2010 Through 04-09-2010",

year = "2010",

doi = "10.1109/IEMBS.2010.5628005",

language = "English",

isbn = "978-1-4244-4123-5",

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Mendez, MO, Migliorini, M, Kortelainen, JM, Nistico, D, Arce-Santana, E, Cerutti, S & Bianchi, AM 2010, Evaluation of the Sleep Quality based on bed sensor signals: Time-Variant Analysis. in 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10., 5628005, IEEE Institute of Electrical and Electronic Engineers, pp. 3994-3997, 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10, Buenos Aires, Argentina, 31/08/10. https://doi.org/10.1109/IEMBS.2010.5628005

Evaluation of the Sleep Quality based on bed sensor signals: Time-Variant Analysis. / Mendez, Martin O.; Migliorini, Matteo; Kortelainen, Juha M. et al.
2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10. IEEE Institute of Electrical and Electronic Engineers, 2010. p. 3994-3997 5628005.

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

TY - GEN

T1 - Evaluation of the Sleep Quality based on bed sensor signals

T2 - 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10

AU - Mendez, Martin O.

AU - Migliorini, Matteo

AU - Kortelainen, Juha M.

AU - Nistico, Domenino

AU - Arce-Santana, Edgar

AU - Cerutti, Sergio

AU - Bianchi, Anna M.

N1 - Project code: 18982

PY - 2010

Y1 - 2010

N2 - Automatic detection of the sleep macrostructure (Wake, NREM -non Rapid Eye Movement- and REM -Rapid Eye Movement-) based on bed sensor signals is presented. This study assesses the feasibility of different methodologies to evaluate the sleep quality out of sleep centers. The study compares a) the features extracted from time-variant autoregressive modeling (TVAM) and Wavelet Decomposition (WD) and b) the performance of K-Nearest Neighbor (KNN) and Feed Forward Neural Networks (FFNN) classifiers. In the current analysis, 17 full polysomnography recordings from healthy subjects were used. The best agreement for Wake- NREM-REM with respect to the gold standard was 71.95 ± 7.47% of accuracy and 0.42 ± 0.10 of kappa index for TVAMLD while WD-FFNN shows 67.17 ± 11.88% of accuracy and 0.39 ± 0.13 of kappa index. The results suggest that the sleep quality assessment out of sleep centers could be possible and as consequence more people could be beneficiated.

AB - Automatic detection of the sleep macrostructure (Wake, NREM -non Rapid Eye Movement- and REM -Rapid Eye Movement-) based on bed sensor signals is presented. This study assesses the feasibility of different methodologies to evaluate the sleep quality out of sleep centers. The study compares a) the features extracted from time-variant autoregressive modeling (TVAM) and Wavelet Decomposition (WD) and b) the performance of K-Nearest Neighbor (KNN) and Feed Forward Neural Networks (FFNN) classifiers. In the current analysis, 17 full polysomnography recordings from healthy subjects were used. The best agreement for Wake- NREM-REM with respect to the gold standard was 71.95 ± 7.47% of accuracy and 0.42 ± 0.10 of kappa index for TVAMLD while WD-FFNN shows 67.17 ± 11.88% of accuracy and 0.39 ± 0.13 of kappa index. The results suggest that the sleep quality assessment out of sleep centers could be possible and as consequence more people could be beneficiated.

KW - feature extraction

KW - sleep

KW - indexes

KW - heart rate variability

KW - accuracy

KW - monitoring

KW - pathology

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U2 - 10.1109/IEMBS.2010.5628005

DO - 10.1109/IEMBS.2010.5628005

M3 - Conference article in proceedings

SN - 978-1-4244-4123-5

SP - 3994

EP - 3997

BT - 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10

PB - IEEE Institute of Electrical and Electronic Engineers

Y2 - 31 August 2010 through 4 September 2010

ER -

Mendez MO, Migliorini M, Kortelainen JM, Nistico D, Arce-Santana E, Cerutti S et al. Evaluation of the Sleep Quality based on bed sensor signals: Time-Variant Analysis. In 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10. IEEE Institute of Electrical and Electronic Engineers. 2010. p. 3994-3997. 5628005 doi: 10.1109/IEMBS.2010.5628005

Evaluation of the Sleep Quality based on bed sensor signals: Time-Variant Analysis

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Keywords

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