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Comparison of video-based methods for respiration rhythm measurement
- Source :
- Recercat. Dipósit de la Recerca de Catalunya, instname, UPCommons. Portal del coneixement obert de la UPC, Universitat Politècnica de Catalunya (UPC)
- Publication Year :
- 2019
- Publisher :
- Elsevier BV, 2019.
-
Abstract
- The aim of this work is to characterize the di erences in the respiratory rhythm obtained through three video based methods by comparing the obtained respiratory signals with the one obtained with the gold standard method in adult population. The analysed methods are an RGB camera, a depth camera and a thermal camera while the gold standard is an inductive thorax plethysmography system (Respiband system from BioSignals Plux). 21 healthy subjects where measured, performing 4 tests for each subject. The respiratory rhythm and its variability was obtained from the four respiratory signals (3 video methods and gold standard). The signal acquisition was performed with custom and proprietary algorithms. To characterize the respiratory rhythm and its variability obtained with the di erent video sources and gold standard, the instantaneous frequency, Bland-Altman plots and standard deviation of the error between video methods and the gold standard have been computed. The depth and RGB camera present high agreement with no statistical di erences between them, with errors when comparing with the gold standard in the range of mHz. The thermal camera performs poorly if compared with the two other methods, nevertheless it cannot be discarded directly because some errors produced by the subjects head movement could not be corrected. From these results we conclude that the depth and RGB camera, and their respective acquisition algorithms) can be used in controlled conditions to measure respiration rhythm and its variability. The thermal camera on the other hand, although it can not be discarded directly, performed poorly if compared with the other two methods. Further studies are needed to con rm that these methods can be used in real life conditions.
- Subjects :
- Respiration - Measurement
Respiration rhythm
Computer science
0206 medical engineering
Health Informatics
02 engineering and technology
Instantaneous phase
Standard deviation
03 medical and health sciences
0302 clinical medicine
Rhythm
Aparell respiratori -- Proves funcionals
Range (statistics)
Computer vision
Video based
Pulmonary function tests
business.industry
Enginyeria biomèdica [Àrees temàtiques de la UPC]
Gold standard (test)
020601 biomedical engineering
Respiració -- Mesurament
Signal Processing
RGB color model
Artificial intelligence
business
030217 neurology & neurosurgery
Subjects
Details
- ISSN :
- 17468094
- Volume :
- 51
- Database :
- OpenAIRE
- Journal :
- Biomedical Signal Processing and Control
- Accession number :
- edsair.doi.dedup.....58cfad42008ef0600363fd7d91d47c1e
- Full Text :
- https://doi.org/10.1016/j.bspc.2019.02.004