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Spectral analysis of snoring events from an Emfit mattress

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Spectral analysis of snoring events from an Emfit mattress. / Perez-Macias Martin, Jose; Viik, Jari; Värri, Alpo; Himanen, Sari-Leena; Tenhunen, Mirja.

In: Physiological Measurement, Vol. 37, No. 12, 04.11.2016, p. 2130-2143.

Research output: Contribution to journalArticleScientificpeer-review

Harvard

Perez-Macias Martin, J, Viik, J, Värri, A, Himanen, S-L & Tenhunen, M 2016, 'Spectral analysis of snoring events from an Emfit mattress', Physiological Measurement, vol. 37, no. 12, pp. 2130-2143. https://doi.org/10.1088/0967-3334/37/12/2130

APA

Perez-Macias Martin, J., Viik, J., Värri, A., Himanen, S-L., & Tenhunen, M. (2016). Spectral analysis of snoring events from an Emfit mattress. Physiological Measurement, 37(12), 2130-2143. https://doi.org/10.1088/0967-3334/37/12/2130

Vancouver

Perez-Macias Martin J, Viik J, Värri A, Himanen S-L, Tenhunen M. Spectral analysis of snoring events from an Emfit mattress. Physiological Measurement. 2016 Nov 4;37(12):2130-2143. https://doi.org/10.1088/0967-3334/37/12/2130

Author

Perez-Macias Martin, Jose ; Viik, Jari ; Värri, Alpo ; Himanen, Sari-Leena ; Tenhunen, Mirja. / Spectral analysis of snoring events from an Emfit mattress. In: Physiological Measurement. 2016 ; Vol. 37, No. 12. pp. 2130-2143.

Bibtex - Download

@article{2b044ed15bee4456a5294ec8cacd8ae8,
title = "Spectral analysis of snoring events from an Emfit mattress",
abstract = "The aim of this study is to explore the capability of an Emfit (electromechanical film transducer) mattress to detect snoring (SN) by analyzing the spectral differences between normal breathing (NB) and SN. Episodes of representative NB and SN of a maximum of 10 min were visually selected for analysis from 33 subjects. To define the bands of interest, we studied the statistical differences in the power spectral density (PSD) between both breathing types. Three bands were selected for further analysis: 6-16 Hz (BW1), 16-30 Hz (BW2) and 60-100 Hz (BW3). We characterized the differences between NB and SN periods in these bands using a set of spectral features estimated from the PSD. We found that 15 out of the 29 features reached statistical significance with the Mann-Whitney U-test. Diagnostic properties for each feature were assessed using receiver operating characteristic analysis. According to our results, the highest diagnostic performance was achieved using the power ratio between BW2 and BW3 (0.85 area under the receiver operating curve, 80{\%} sensitivity, 80{\%} specificity and 80{\%} accuracy). We found that there are significant differences in the defined bands between the NB and SN periods. A peak was found in BW3 for SN epochs, which was best detected using power ratios. Our work suggests that it is possible to detect snoring with an Emfit mattress. The mattress-type movement sensors are inexpensive and unobtrusive, and thus provide an interesting tool for sleep research.",
author = "{Perez-Macias Martin}, Jose and Jari Viik and Alpo V{\"a}rri and Sari-Leena Himanen and Mirja Tenhunen",
note = "EXT={"}Tenhunen, Mirja{"}",
year = "2016",
month = "11",
day = "4",
doi = "10.1088/0967-3334/37/12/2130",
language = "English",
volume = "37",
pages = "2130--2143",
journal = "Physiological Measurement",
issn = "0967-3334",
publisher = "IOP Publishing",
number = "12",

}

RIS (suitable for import to EndNote) - Download

TY - JOUR

T1 - Spectral analysis of snoring events from an Emfit mattress

AU - Perez-Macias Martin, Jose

AU - Viik, Jari

AU - Värri, Alpo

AU - Himanen, Sari-Leena

AU - Tenhunen, Mirja

N1 - EXT="Tenhunen, Mirja"

PY - 2016/11/4

Y1 - 2016/11/4

N2 - The aim of this study is to explore the capability of an Emfit (electromechanical film transducer) mattress to detect snoring (SN) by analyzing the spectral differences between normal breathing (NB) and SN. Episodes of representative NB and SN of a maximum of 10 min were visually selected for analysis from 33 subjects. To define the bands of interest, we studied the statistical differences in the power spectral density (PSD) between both breathing types. Three bands were selected for further analysis: 6-16 Hz (BW1), 16-30 Hz (BW2) and 60-100 Hz (BW3). We characterized the differences between NB and SN periods in these bands using a set of spectral features estimated from the PSD. We found that 15 out of the 29 features reached statistical significance with the Mann-Whitney U-test. Diagnostic properties for each feature were assessed using receiver operating characteristic analysis. According to our results, the highest diagnostic performance was achieved using the power ratio between BW2 and BW3 (0.85 area under the receiver operating curve, 80% sensitivity, 80% specificity and 80% accuracy). We found that there are significant differences in the defined bands between the NB and SN periods. A peak was found in BW3 for SN epochs, which was best detected using power ratios. Our work suggests that it is possible to detect snoring with an Emfit mattress. The mattress-type movement sensors are inexpensive and unobtrusive, and thus provide an interesting tool for sleep research.

AB - The aim of this study is to explore the capability of an Emfit (electromechanical film transducer) mattress to detect snoring (SN) by analyzing the spectral differences between normal breathing (NB) and SN. Episodes of representative NB and SN of a maximum of 10 min were visually selected for analysis from 33 subjects. To define the bands of interest, we studied the statistical differences in the power spectral density (PSD) between both breathing types. Three bands were selected for further analysis: 6-16 Hz (BW1), 16-30 Hz (BW2) and 60-100 Hz (BW3). We characterized the differences between NB and SN periods in these bands using a set of spectral features estimated from the PSD. We found that 15 out of the 29 features reached statistical significance with the Mann-Whitney U-test. Diagnostic properties for each feature were assessed using receiver operating characteristic analysis. According to our results, the highest diagnostic performance was achieved using the power ratio between BW2 and BW3 (0.85 area under the receiver operating curve, 80% sensitivity, 80% specificity and 80% accuracy). We found that there are significant differences in the defined bands between the NB and SN periods. A peak was found in BW3 for SN epochs, which was best detected using power ratios. Our work suggests that it is possible to detect snoring with an Emfit mattress. The mattress-type movement sensors are inexpensive and unobtrusive, and thus provide an interesting tool for sleep research.

U2 - 10.1088/0967-3334/37/12/2130

DO - 10.1088/0967-3334/37/12/2130

M3 - Article

VL - 37

SP - 2130

EP - 2143

JO - Physiological Measurement

JF - Physiological Measurement

SN - 0967-3334

IS - 12

ER -