Multimodal breathing analysis in the evaluation of physical load
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F17%3A63516824" target="_blank" >RIV/70883521:28140/17:63516824 - isvavai.cz</a>
Result on the web
<a href="http://ieeexplore.ieee.org/abstract/document/8096050/" target="_blank" >http://ieeexplore.ieee.org/abstract/document/8096050/</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ICDSP.2017.8096050" target="_blank" >10.1109/ICDSP.2017.8096050</a>
Alternative languages
Result language
angličtina
Original language name
Multimodal breathing analysis in the evaluation of physical load
Original language description
The paper presents specific methods of processing of multimodal data recorded during physical activities by depth MS Kinect cameras, thermal imaging cameras and heart rate sensors. All video data and heart rate signals used in the present study were recorded in the home environment. The proposed methodology includes the detection of the chest breathing area for breathing motion analysis used by the MS Kinect. For the thermal image processing the static and dynamic selection of regions of interests was performed in associated sets of images to find time evolution of respiratory signals and their temperature changes. Signal de-noising by finite impulse filters is applied both for breathing and heart rate data. Correlation analysis is used in the data processing stage to find the time relation between individual physiological variables. Results include relations between signals acquired during physical activities and they show how simple sensors can be used to increase the accuracy of standard diagnostical tools in biomedicine as well.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20601 - Medical engineering
Result continuities
Project
—
Continuities
V - Vyzkumna aktivita podporovana z jinych verejnych zdroju
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Digital Signal Processing (DSP), 2017 22nd International Conference on Digital Signal Processing
ISBN
978-1-5386-1896-7
ISSN
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e-ISSN
neuvedeno
Number of pages
4
Pages from-to
1-4
Publisher name
IEEE
Place of publication
London
Event location
Londýn
Event date
Aug 23, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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