Matches in SemOpenAlex for { <https://semopenalex.org/work/W3097415512> ?p ?o ?g. }
- W3097415512 endingPage "155" @default.
- W3097415512 startingPage "142" @default.
- W3097415512 abstract "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 < 0.001 and r = 0.99; P < 0.001) in the mannequin recordings and (r = 0.95, P < 0.001 and r = 0.90, P < 0.001) for patients. Conclusion This study describes and evaluates a novel noncontact monitoring system suitable for continuous monitoring of key respiratory parameters for disease assessment of critically ill patients." @default.
- W3097415512 created "2020-11-09" @default.
- W3097415512 creator A5002799061 @default.
- W3097415512 creator A5006198063 @default.
- W3097415512 creator A5017138072 @default.
- W3097415512 creator A5022798796 @default.
- W3097415512 creator A5026619073 @default.
- W3097415512 creator A5036576202 @default.
- W3097415512 creator A5056412132 @default.
- W3097415512 date "2020-11-17" @default.
- W3097415512 modified "2023-09-24" @default.
- W3097415512 title "Surface imaging for real‐time patient respiratory function assessment in intensive care" @default.
- W3097415512 cites W1480069025 @default.
- W3097415512 cites W1751162681 @default.
- W3097415512 cites W1758575531 @default.
- W3097415512 cites W1816790278 @default.
- W3097415512 cites W1822444045 @default.
- W3097415512 cites W1882467697 @default.
- W3097415512 cites W1910517923 @default.
- W3097415512 cites W1913661415 @default.
- W3097415512 cites W1967089637 @default.
- W3097415512 cites W1969039939 @default.
- W3097415512 cites W1973500545 @default.
- W3097415512 cites W1988180373 @default.
- W3097415512 cites W1990400227 @default.
- W3097415512 cites W1993062190 @default.
- W3097415512 cites W1999609497 @default.
- W3097415512 cites W2005774119 @default.
- W3097415512 cites W2005999688 @default.
- W3097415512 cites W2011989160 @default.
- W3097415512 cites W2018532968 @default.
- W3097415512 cites W2026815577 @default.
- W3097415512 cites W2027989613 @default.
- W3097415512 cites W2028249942 @default.
- W3097415512 cites W2028641197 @default.
- W3097415512 cites W2029760515 @default.
- W3097415512 cites W2050953382 @default.
- W3097415512 cites W2059353807 @default.
- W3097415512 cites W2065906272 @default.
- W3097415512 cites W2065950828 @default.
- W3097415512 cites W2072442733 @default.
- W3097415512 cites W2075549776 @default.
- W3097415512 cites W2078042216 @default.
- W3097415512 cites W2078934723 @default.
- W3097415512 cites W2079382073 @default.
- W3097415512 cites W2082351345 @default.
- W3097415512 cites W2097721391 @default.
- W3097415512 cites W2098577709 @default.
- W3097415512 cites W2113752525 @default.
- W3097415512 cites W2115303739 @default.
- W3097415512 cites W2116561151 @default.
- W3097415512 cites W2117583933 @default.
- W3097415512 cites W2125078269 @default.
- W3097415512 cites W2125766343 @default.
- W3097415512 cites W2133076568 @default.
- W3097415512 cites W2139284748 @default.
- W3097415512 cites W2169167455 @default.
- W3097415512 cites W2172156083 @default.
- W3097415512 cites W2186089922 @default.
- W3097415512 cites W2261188533 @default.
- W3097415512 cites W2317053768 @default.
- W3097415512 cites W2345790745 @default.
- W3097415512 cites W2481697476 @default.
- W3097415512 cites W2509431176 @default.
- W3097415512 cites W2518662649 @default.
- W3097415512 cites W2531964661 @default.
- W3097415512 cites W2555095678 @default.
- W3097415512 cites W2559085405 @default.
- W3097415512 cites W2560535307 @default.
- W3097415512 cites W2587732153 @default.
- W3097415512 cites W2590876852 @default.
- W3097415512 cites W2592874917 @default.
- W3097415512 cites W2593524020 @default.
- W3097415512 cites W2606414613 @default.
- W3097415512 cites W2745197867 @default.
- W3097415512 cites W2769169185 @default.
- W3097415512 cites W2772729192 @default.
- W3097415512 cites W2792611499 @default.
- W3097415512 cites W2801073346 @default.
- W3097415512 cites W2893114893 @default.
- W3097415512 cites W2894501716 @default.
- W3097415512 cites W2916798096 @default.
- W3097415512 cites W2951565129 @default.
- W3097415512 cites W2955456774 @default.
- W3097415512 cites W2973055803 @default.
- W3097415512 cites W2062105560 @default.
- W3097415512 cites W2497640278 @default.
- W3097415512 doi "https://doi.org/10.1002/mp.14557" @default.
- W3097415512 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/33118190" @default.
- W3097415512 hasPublicationYear "2020" @default.
- W3097415512 type Work @default.
- W3097415512 sameAs 3097415512 @default.
- W3097415512 citedByCount "4" @default.
- W3097415512 countsByYear W30974155122020 @default.
- W3097415512 countsByYear W30974155122021 @default.
- W3097415512 countsByYear W30974155122022 @default.
- W3097415512 crossrefType "journal-article" @default.
- W3097415512 hasAuthorship W3097415512A5002799061 @default.