Noncontact Heart and Respiratory Rate Monitoring of Preterm Infants Based on a Computer Vision System: Protocol for a Method Comparison Study.
computers
electrocardiography
heart rate
infant
respiratory rate
Journal
JMIR research protocols
ISSN: 1929-0748
Titre abrégé: JMIR Res Protoc
Pays: Canada
ID NLM: 101599504
Informations de publication
Date de publication:
29 08 2019
29 08 2019
Historique:
received:
14
01
2019
accepted:
25
05
2019
revised:
12
05
2019
entrez:
31
8
2019
pubmed:
31
8
2019
medline:
31
8
2019
Statut:
epublish
Résumé
Biomedical research in the application of noncontact methods to measure heart rate (HR) and respiratory rate (RR) in the neonatal population has produced mixed results. This paper describes and discusses a protocol for conducting a method comparison study, which aims to determine the accuracy of a proposed noncontact computer vision system to detect HR and RR relative to the HR and RR obtained by 3-lead electrocardiogram (ECG) in preterm infants in the neonatal unit. The aim of this preliminary study is to determine the accuracy of a proposed noncontact computer vision system to detect HR and RR relative to the HR and RR obtained by 3-lead ECG in preterm infants in the neonatal unit. A single-center cross-sectional study was planned to be conducted in the neonatal unit at Flinders Medical Centre, South Australia, in May 2018. A total of 10 neonates and their ECG monitors will be filmed concurrently for 10 min using digital cameras. Advanced image processing techniques are to be applied later to determine their physiological data at 3 intervals. These data will then be compared with the ECG readings at the same points in time. Study enrolment began in May 2018. Results of this study were published in July 2019. The study will analyze the data obtained by the noncontact system in comparison to data obtained by ECG, identify factors that may influence data extraction and accuracy when filming infants, and provide recommendations for how this noncontact system may be implemented into clinical applications. RR1-10.2196/13400.
Sections du résumé
BACKGROUND
Biomedical research in the application of noncontact methods to measure heart rate (HR) and respiratory rate (RR) in the neonatal population has produced mixed results. This paper describes and discusses a protocol for conducting a method comparison study, which aims to determine the accuracy of a proposed noncontact computer vision system to detect HR and RR relative to the HR and RR obtained by 3-lead electrocardiogram (ECG) in preterm infants in the neonatal unit.
OBJECTIVE
The aim of this preliminary study is to determine the accuracy of a proposed noncontact computer vision system to detect HR and RR relative to the HR and RR obtained by 3-lead ECG in preterm infants in the neonatal unit.
METHODS
A single-center cross-sectional study was planned to be conducted in the neonatal unit at Flinders Medical Centre, South Australia, in May 2018. A total of 10 neonates and their ECG monitors will be filmed concurrently for 10 min using digital cameras. Advanced image processing techniques are to be applied later to determine their physiological data at 3 intervals. These data will then be compared with the ECG readings at the same points in time.
RESULTS
Study enrolment began in May 2018. Results of this study were published in July 2019.
CONCLUSIONS
The study will analyze the data obtained by the noncontact system in comparison to data obtained by ECG, identify factors that may influence data extraction and accuracy when filming infants, and provide recommendations for how this noncontact system may be implemented into clinical applications.
INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)
RR1-10.2196/13400.
Identifiants
pubmed: 31469077
pii: v8i8e13400
doi: 10.2196/13400
pmc: PMC6786848
doi:
Types de publication
Journal Article
Langues
eng
Pagination
e13400Informations de copyright
©Kim Gibson, Ali Al-Naji, Julie-Anne Fleet, Mary Steen, Javaan Chahl, Jasmine Huynh, Scott Morris. Originally published in JMIR Research Protocols (http://www.researchprotocols.org), 29.08.2019.
Références
Opt Express. 2008 Dec 22;16(26):21434-45
pubmed: 19104573
J Med Eng Technol. 2017 Jul;41(5):396-405
pubmed: 28447860
Conf Proc IEEE Eng Med Biol Soc. 2012;2012:2088-91
pubmed: 23366332
Sensors (Basel). 2017 Feb 03;17(2):
pubmed: 28165382
IEEE Trans Biomed Eng. 2011 Jan;58(1):7-11
pubmed: 20952328
Pediatr Res. 2019 Jul 27;:null
pubmed: 31351437
Clin Exp Dermatol. 2009 Dec;34(8):855-8
pubmed: 19575734
Opt Express. 2010 May 10;18(10):10762-74
pubmed: 20588929
Br J Anaesth. 2007 Sep;99(3):309-11
pubmed: 17702826
Early Hum Dev. 2013 Dec;89(12):943-8
pubmed: 24135159
Physiol Meas. 2007 Mar;28(3):R1-39
pubmed: 17322588
Stat Methods Med Res. 2017 Dec;26(6):2487-2504
pubmed: 26335274
Healthc Technol Lett. 2014 Sep 23;1(3):87-91
pubmed: 26609384
Pediatrics. 2016 Jan;137(1):null
pubmed: 26628729