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Journal article

Continuous non-contact vital sign monitoring in neonatal intensive care unit

Abstract:

Current technologies to allow continuous monitoring of vital signs in pre-term infants in the hospital require adhesive electrodes or sensors to be in direct contact with the patient. These can cause stress, pain, and also damage the fragile skin of the infants. It has been established previously that the colour and volume changes in superficial blood vessels during the cardiac cycle can be measured using a digital video camera and ambient light, making it possible to obtain estimates of heart rate or breathing rate. Most of the papers in the literature on non-contact vital sign monitoring report results on adult healthy human volunteers in controlled environments for short periods of time. The authors' current clinical study involves the continuous monitoring of pre-term infants, for at least four consecutive days each, in the high-dependency care area of the Neonatal Intensive Care Unit (NICU) at the John Radcliffe Hospital in Oxford. The authors have further developed their video-based, non-contact monitoring methods to obtain continuous estimates of heart rate, respiratory rate and oxygen saturation for infants nursed in incubators. In this Letter, it is shown that continuous estimates of these three parameters can be computed with an accuracy which is clinically useful. During stable sections with minimal infant motion, the mean absolute error between the camera-derived estimates of heart rate and the reference value derived from the ECG is similar to the mean absolute error between the ECG-derived value and the heart rate value from a pulse oximeter. Continuous non-contact vital sign monitoring in the NICU using ambient light is feasible, and the authors have shown that clinically important events such as a bradycardia accompanied by a major desaturation can be identified with their algorithms for processing the video signal.

Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1049/htl.2014.0077

Authors


More by this author
Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
Clinical Neurosciences
Role:
Author
ORCID:
0000-0003-1023-3927


Publisher:
Institution of Engineering and Technology
Journal:
Healthcare Technology Letters More from this journal
Volume:
1
Issue:
3
Pages:
87-91
Publication date:
2014-09-18
Acceptance date:
2014-08-22
DOI:
EISSN:
2053-3713
Pmid:
26609384


Language:
English
Keywords:
Pubs id:
pubs:588608
UUID:
uuid:6a7e73aa-6b89-4909-926f-066bd9d9f49a
Local pid:
pubs:588608
Source identifiers:
588608
Deposit date:
2018-10-24

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