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  5. A real-time camera-based adaptive breathing monitoring system
 
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A real-time camera-based adaptive breathing monitoring system

Journal
Medical and Biological Engineering and Computing
Journal Volume
59
Journal Issue
6
Pages
1285-1298
Date Issued
2021
Author(s)
Lee Y.-C
Syakura A
Khalil M.A
CHING-HO WU  
Ding Y.-F
Wang C.-W.
DOI
10.1007/s11517-021-02371-5
URI
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85107694769&doi=10.1007%2fs11517-021-02371-5&partnerID=40&md5=3871962c6accbe23ec00cfc546bb62d3
https://scholars.lib.ntu.edu.tw/handle/123456789/605999
Abstract
Breathing is one of the vital signs used to assess the physical health of a subject. Non-contact-based measurements of both breathing rate and changes in breathing rate help monitor health condition of subjects more flexibly. In this paper, we present an improved real-time camera-based adaptive breathing monitoring system, which includes real time (1) adaptive breathing motion detection, (2) adaptive region of interest detection to eliminate environmental noise, (3) breathing and body movement classification, (4) respiration rate estimation, (5) monitor change in respiration rate to examine overall health of an individual, and (6) online adaptation to lighting. The proposed system does not pose any positional and postural constraint. For evaluation, 30 videos of 15 animals are tested with drugs to simulate various medical conditions and breathing patterns, and the results from the proposed system are compared with the outputs of an existing FDA-approved invasive medical system for patient monitoring. The results show that the proposed method performs significantly correlated RR results to the reference medical device with the correlation coefficient equal to 0.92 and p-value less than 0.001, and more importantly the proposed video-based method is demonstrated to produce alarms 10 to 20 s earlier than the benchmark medical device. [Figure not available: see fulltext.] ? 2021, International Federation for Medical and Biological Engineering.
Subjects
Non-contact-based breathing monitoring
Respiration rate measurement
Vision-based respiratory rate
Health
Image segmentation
Motion analysis
Patient monitoring
Adaptive region of interest
Breathing motions
Breathing patterns
Correlation coefficient
Environmental noise
Medical conditions
On-line adaptation
Postural constraints
Cameras
atracurium besilate
isoflurane
propofol
tiletamine plus zolazepam
xylazine
adult
algorithm
animal experiment
Article
body movement
breathing
breathing pattern
breathing rate
classification
controlled study
loading drug dose
noise reduction
nonhuman
videorecording
human
motion
movement (physiology)
physiologic monitoring
Algorithms
Humans
Monitoring, Physiologic
Motion
Movement
Respiration
Respiratory Rate
SDGs

[SDGs]SDG3

Type
journal article

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