Feature Extraction Using MS Kinect and Data Fusion in Analysis of Sleep Disorders

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00179906%3A_____%2F15%3A10315849" target="_blank" >RIV/00179906:_____/15:10315849 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21730/15:00239838 RIV/00216208:11150/15:10315849 RIV/60461373:22340/15:43899502
Result on the web
<a href="http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7347069&isnumber=7347057" target="_blank" >http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7347069&isnumber=7347057</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/IWCIM.2015.7347069" target="_blank" >10.1109/IWCIM.2015.7347069</a>

Result language
angličtina
Original language name
Feature Extraction Using MS Kinect and Data Fusion in Analysis of Sleep Disorders
Original language description
Non-contact methods for the tracking of breathing have found noticeable interest in research in recent years motivated by the obtrusiveness of the traditional approach to sleep disordered breathing diagnosis. The low-priced Kinect device released by Microsoft has emerged as a possible alternative hardware in the field of subject's monitoring aimed at sleep disorders analysis. In this paper we present a method for the reconstruction of the patient's breathing during sleep using the depth maps acquired by Kinect. Preliminary operations of resampling and denoising were performed on the images. A reconstruction of the breathing is then obtained by means of image processing and filtering operations; it is synchronized with the corresponding polysomnographic record, features are extracted from both signals and compared. The strong likeness in the mean of the features extracted from the two records (with mean error of 0.87% in frequency and 9.17% in regularity) supports the view that enhancements of this technique may represent a valid alternative to the present approach to sleep monitoring
Czech name
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Czech description
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Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
2015 International workshop on computational intelligence for multimedia understanding (IWCIM)
ISBN
978-1-4673-8457-5
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
1-5
Publisher name
IEEE
Place of publication
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Event location
Praha
Event date
Oct 29, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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