Spectral analysis of snoring events from an Emfit mattress. (4th November 2016)
- Record Type:
- Journal Article
- Title:
- Spectral analysis of snoring events from an Emfit mattress. (4th November 2016)
- Main Title:
- Spectral analysis of snoring events from an Emfit mattress
- Authors:
- Perez-Macias, Jose Maria
Viik, Jari
Varri, Alpo
Himanen, Sari-Leena
Tenhunen, Mirja - Abstract:
- 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 sleepAbstract: 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. … (more)
- Is Part Of:
- Physiological measurement. Volume 37:Number 12(2016:Dec.)
- Journal:
- Physiological measurement
- Issue:
- Volume 37:Number 12(2016:Dec.)
- Issue Display:
- Volume 37, Issue 12 (2016)
- Year:
- 2016
- Volume:
- 37
- Issue:
- 12
- Issue Sort Value:
- 2016-0037-0012-0000
- Page Start:
- 2130
- Page End:
- 2143
- Publication Date:
- 2016-11-04
- Subjects:
- snoring -- Emfit (electromechanical film transducer) mattress sensor -- sleep-disordered breathing (SDB) -- spectral analysis -- sleep
Physiology -- Measurement -- Periodicals
Patient monitoring -- Periodicals
612 - Journal URLs:
- http://ioppublishing.org/ ↗
http://iopscience.iop.org/0967-3334 ↗ - DOI:
- 10.1088/0967-3334/37/12/2130 ↗
- Languages:
- English
- ISSNs:
- 0967-3334
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 11133.xml