Academic Journal

Estimation of Respiratory Volumes During Tidal Breathing Using Two Depth Cameras.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Estimation of Respiratory Volumes During Tidal Breathing Using Two Depth Cameras.
Συγγραφείς: Handley A; School of Health and Society, University of Salford, Salford M6 6PU, UK., Preece S; School of Health and Society, University of Salford, Salford M6 6PU, UK., Tresadern P; Visionomy, Salford M30 9HS, UK.
Πηγή: Sensors (Basel, Switzerland) [Sensors (Basel)] 2026 Sep 12; Vol. 26 (18). Date of Electronic Publication: 2026 Sep 12.
Τύπος έκδοσης: Journal Article
Γλώσσα: English
Στοιχεία περιοδικού: Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220 (Electronic) Linking ISSN: 14248220 NLM ISO Abbreviation: Sensors (Basel) Subsets: MEDLINE
Imprint Name(s): Original Publication: Basel, Switzerland : MDPI, c2000-
Ιατρικοί όροι (MeSH): Tidal Volume*/physiology , Respiration*, Humans ; Spirometry ; Algorithms ; Male ; Female ; Adult
Περίληψη: Recent advances in depth camera technology enable precise quantification of shape changes of the human torso during breathing and therefore predict respiratory volumes. The aim of this study was to investigate the potential of estimating tidal volumes during relaxed breathing from two depth cameras. Data were analysed from 21 healthy participants. For each participant, a set of 30 physical markers were placed across the torso and tracked using two depth cameras. Marker positions were mapped to 3D coordinates and used as inputs for a volume algorithm that estimated respiratory volumes. A breath-by-breath analysis was then conducted to compare estimated volumes with spirometry measurements. The camera-derived volumes were strongly correlated with spirometry (marginal R2 = 0.941) and showed excellent agreement with a mean (SD) absolute difference of 78.0 (34.8) mL. Bland-Altman analysis showed a bias of -4.6 mL and 95% limits of agreement of -192.3 to 183 mL. The reduced 17-marker configuration also showed a strong correlation with spirometry (marginal R2 = 0.918) but reduced agreement, with a mean (SD) absolute difference of 107.4 (58.2) mL and a Bland-Altman bias of -76.4 mL (95% limits of agreement: -298.1 to 145.3 mL). This is the first study to use a marker-based system to estimate respiratory volumes from two facing depth cameras. The use of markers allows for segmentation of the torso and therefore offers the potential to characterise breathing without the need for an expensive laboratory motion capture system.
References: Sensors (Basel). 2022 Dec 10;22(24):. (PMID: 36560048)
Sensors (Basel). 2017 Aug 09;17(8):. (PMID: 28792468)
IEEE Trans Biomed Eng. 2018 Jun;65(6):1421-1431. (PMID: 29787997)
Sensors (Basel). 2025 Jul 17;25(14):. (PMID: 40732591)
J Clin Monit Comput. 2022 Jun;36(3):657-665. (PMID: 33743106)
Chest. 1997 Oct;112(4):1091-101. (PMID: 9377922)
Clin Respir J. 2023 Mar;17(3):176-186. (PMID: 36710074)
Respiration. 2017;93(5):339-354. (PMID: 28329750)
Comput Methods Biomech Biomed Engin. 2017 Dec;20(16):1678-1689. (PMID: 29164909)
Sensors (Basel). 2026 Jun 01;26(11):. (PMID: 42280992)
Front Physiol. 2017 Feb 07;8:65. (PMID: 28223945)
Front Physiol. 2020 Sep 11;11:552942. (PMID: 33013479)
J Biopharm Stat. 2007;17(4):571-82. (PMID: 17613642)
Open Biomed Eng J. 2014 Dec 19;8:120-30. (PMID: 25624954)
Sensors (Basel). 2020 Dec 03;20(23):. (PMID: 33287154)
Physiol Meas. 2026 Mar 13;47(3):. (PMID: 41713024)
Sensors (Basel). 2021 Aug 20;21(16):. (PMID: 34451047)
J Clin Monit Comput. 2022 Jun;36(3):775-783. (PMID: 33886075)
J Appl Physiol. 1967 Mar;22(3):407-22. (PMID: 4225383)
Sensors (Basel). 2021 Feb 06;21(4):. (PMID: 33561970)
IEEE J Biomed Health Inform. 2019 Jul;23(4):1674-1682. (PMID: 30235149)
Sensors (Basel). 2021 Jul 29;21(15):. (PMID: 34372363)
Sensors (Basel). 2021 May 26;21(11):. (PMID: 34073590)
Am J Respir Crit Care Med. 2019 Oct 15;200(8):e70-e88. (PMID: 31613151)
Grant Information: EP/W003600/1 Engineering and Physical Sciences Research Council
Contributed Indexing: Keywords: RGB-D cameras; depth camera; non-contact respiratory monitoring; optoelectronic plethysmography; respiratory diagnostics; spirometry
Entry Date(s): Date Created: 20261001 Date Completed: 20261001 Latest Revision: 20261005
Update Code: 20261005
PubMed Central ID: PMC13611248
DOI: 10.3390/s26185793
PMID: 42817356
Βάση Δεδομένων: MEDLINE
Περιγραφή
ISSN:1424-8220
DOI:10.3390/s26185793