Surface imaging for real‐time patient respiratory function assessment in intensive care

Purpose Monitoring of physiological parameters is a major concern in Intensive Care Units (ICU) given their role in the assessment of vital organ function. Within this context, one issue is the lack of efficient noncontact techniques for respiratory monitoring. In this paper, we present a novel nonc...

Full description

Saved in:
Bibliographic Details
Published in:Medical physics (Lancaster) 2021-01, Vol.48 (1), p.142-155
Main Authors: Nazir, Souha, Pateau, Victoire, Bert, Julien, Clement, Jean‐François, Fayad, Hadi, l'Her, Erwan, Visvikis, Dimitris
Format: Article
Language:English
Subjects:
Critical Care
Humans
Intensive Care Unit
Intensive Care Units
Monitoring, Physiologic
noncontact monitoring
Respiration
respiratory function
surface imaging
Tidal Volume
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Purpose Monitoring of physiological parameters is a major concern in Intensive Care Units (ICU) given their role in the assessment of vital organ function. Within this context, one issue is the lack of efficient noncontact techniques for respiratory monitoring. In this paper, we present a novel noncontact solution for real‐time respiratory monitoring and function assessment of ICU patients. Methods The proposed system uses a Time‐of‐Flight depth sensor to analyze the patient’s chest wall morphological changes in order to estimate multiple respiratory function parameters. The automatic detection of the patient's torso is also proposed using a deep neural network model trained on the COCO dataset. The evaluation of the proposed system was performed on a mannequin and on 16 mechanically ventilated patients (a total of 216 recordings) admitted in the ICU of the Brest University Hospital. Results The estimation of respiratory parameters (respiratory rate and tidal volume) showed high correlation with the reference method (r = 0.99; P 
ISSN:0094-2405
2473-4209
DOI:10.1002/mp.14557