Extraction of breathing features using MS Kinect for sleep stage detection. Issue 7 (October 2016)
- Record Type:
- Journal Article
- Title:
- Extraction of breathing features using MS Kinect for sleep stage detection. Issue 7 (October 2016)
- Main Title:
- Extraction of breathing features using MS Kinect for sleep stage detection
- Authors:
- Procházka, Aleš
Schätz, Martin
Centonze, Fabio
Kuchyňka, Jiří
Vyšata, Oldřich
Vališ, Martin - Abstract:
- Abstract This paper presents the contactless measuring of breathing using the MS Kinect depth sensor and compares the results obtained with records of breathing taken by polysomnography (PSG). We explore the methods of signal denoising, resampling, and spectral analysis of acquired data as well as feature extraction and their Bayesian classification. The proposed methodology was applied for analysis of the long-term monitoring of individuals who were observed simultaneously by PSG and MS Kinect in the sleep laboratory. After time synchronization of polysomnographic and MS Kinect video data, features were extracted from both signals and compared. The average error of the frequency while being evaluated by MS Kinect that was related to that obtained by PSG was 3.75 %. The mean accuracy of the Bayesian classification of features into two classes (i.e. wake or sleep) was 88.90 and 88.95 % for the PSG and MS Kinect measurements, respectively. The strong likeness of features supports the hypothesis that contactless techniques may represent a valid alternative to the present approach of sleep monitoring, thereby allowing data acquisition in the home environment as well.
- Is Part Of:
- Signal, image and video processing. Volume 10:Issue 7(2016)
- Journal:
- Signal, image and video processing
- Issue:
- Volume 10:Issue 7(2016)
- Issue Display:
- Volume 10, Issue 7 (2016)
- Year:
- 2016
- Volume:
- 10
- Issue:
- 7
- Issue Sort Value:
- 2016-0010-0007-0000
- Page Start:
- 1279
- Page End:
- 1286
- Publication Date:
- 2016-10
- Subjects:
- Polysomnography -- Breathing analysis -- Digital signal processing -- Range imaging methods -- MS Kinect -- Feature extraction -- Bayesian classification
Signal processing -- Digital techniques -- Periodicals
Image processing -- Digital techniques -- Periodicals
Digital video -- Periodicals
621.3822 - Journal URLs:
- http://www.springerlink.com/content/120512/ ↗
http://www.springerlink.com/openurl.asp?genre=journal&issn=1863-1703 ↗
http://www.springer.com/gb/ ↗ - DOI:
- 10.1007/s11760-016-0897-2 ↗
- Languages:
- English
- ISSNs:
- 1863-1703
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 8275.985203
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 9992.xml