Paper Info
Title
Measurement system based on RBG camera signal for contactless breathing pattern and respiratory rate monitoring
Abstract
Vital signs monitoring is pivotal in clinical environments and emerging in home-based healthcare applications. Different kind of sensors can be used to monitor the breathing pattern and the respiratory rate. However, respiration rate remains the least measured vital sign in several scenarios, due to the intrusiveness of the sensors usually adopted. In this paper, we propose a measuring system for the low-cost and contactless analysis of respiration. The system analyses a video recorded by commercial RGB camera and extracts respiratory pattern from the changes in the intensity of the light reflected back at the level of the upper chest. Then it allows estimating breath-by-breath respiratory rate from such pattern. The proposed system was tested on six healthy volunteers seated in front of the camera, with both slim-fit and loose-fit clothes. Results show promising performances for the non-intrusive monitoring of both breathing pattern and breath-by-breath respiratory rate over time. Future developments will be devoted to investigating the feasibility of the proposed measurement system for long-term observation of respiratory parameters, for subject monitoring at home or during clinical examinations (i.e., MR imaging).
Year
DOI
Venue
2018
10.1109/MeMeA.2018.8438692
2018 IEEE International Symposium on Medical Measurements and Applications (MeMeA)
Keywords
Field
DocType
RGB sensor,measuring system,respiratory pattern,respiratory rate,contactless monitoring
Computer vision,Respiratory rate monitoring,System of measurement,Respiratory pattern,Computer science,Vital signs,Respiratory rate,Upper chest,Breathing,Artificial intelligence,RGB color model
Conference
ISBN
Citations 
PageRank 
978-1-5386-3393-9
1
0.41
References 
Authors
5
5
Name
Order
Citations
PageRank
C Massaroni15426.42
Emiliano Schena210643.86
Sergio Silvestri35815.86
Fabrizio Taffoni45813.31
Mario Merone5145.72