Abstract

The main goal of this paper is to develop classification of non-contact respiration monitoring approaches and proposal of structure for system with facial artifacts rejection. All available techniques were divided into two main groups: based on reconstruction of respiration from 3-D image of object and based on 2-D image processing of techniques. Structure of system for respiration monitoring using optical sensors with facial artifacts removing was developed. New approach allows improving of respiration monitoring for objects in supine position and in a sitting position.References 26, figures 16.

Highlights

  • Monitoring of vital parameters such as heart rate and breathing parameters is an important task for medical scientists and engineers

  • Respiration monitoring is an essential aspect in removal of moving artifacts for computer tomography [1], magnetic resonance imaging [2], imageguided radiation therapy [3], in neonatal applications [4], in monitoring applications for elderly people [5] and for automotive and aviation applications

  • There are plenty of approaches to noncontact respiration monitoring, such as ultrasonic, radarbased, capacitive ECG-based etc., but the most promising are the techniques based on the analysis of natural images of patients under monitoring, which are achievable

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Summary

Introduction

Monitoring of vital parameters such as heart rate and breathing parameters is an important task for medical scientists and engineers. Today’s medicine has good results in vital parameter estimation with invasive methods Such methods typicaly involve contact to patient’s body, and require preliminary patient preparation which might not be convenient for patients and medical personnel in various clinical situations. There are plenty of approaches to noncontact respiration monitoring, such as ultrasonic, radarbased, capacitive ECG-based etc., but the most promising are the techniques based on the analysis of natural images of patients under monitoring, which are achievable. This is due to the wide availability of cameras, low cost and good operability. The new structure of respiration monitoring system is proposed and justified

General approaches to respiration monitoring in optical domain
Stereoscopic methods of respiratory monitoring
Projection-based systems for respiration monitoring
Respiratory monitoring using 3-D techniques
Respiration extraction by optical flow estimation
Respiration estimation by frame subtraction method
Artefact removal in 2-D respiration extraction techniques
Conclusion
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