Non-contact automatic vital signs monitoring of neonates in NICU using video camera imaging

Article

Khanam, Fatema-Tuz-Zohra, Al-Naji, Ali, Perera, Asanka G., Gibson, Kim and Chahl, Javaan. 2022. "Non-contact automatic vital signs monitoring of neonates in NICU using video camera imaging." Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization. 11 (2), pp. 278-285. https://doi.org/10.1080/21681163.2022.2069598
Article Title

Non-contact automatic vital signs monitoring of neonates in NICU using video camera imaging

ERA Journal ID212144
Article CategoryArticle
AuthorsKhanam, Fatema-Tuz-Zohra, Al-Naji, Ali, Perera, Asanka G., Gibson, Kim and Chahl, Javaan
Journal TitleComputer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization
Journal Citation11 (2), pp. 278-285
Number of Pages8
Year2022
PublisherTaylor & Francis
Place of PublicationUnited Kingdom
ISSN2168-1163
2168-1171
Digital Object Identifier (DOI)https://doi.org/10.1080/21681163.2022.2069598
Web Address (URL)https://www.tandfonline.com/doi/abs/10.1080/21681163.2022.2069598
Abstract

Non-contact vital signs monitoring is desirable in both clinical and non-clinical sectors. However, there are limited camera-based studies to monitor the vital signs of neonatal infants in a clinical setting. In this study, a digital camera was used to remotely monitor the heart rate (HR) and respiratory rate (RR) of seven infants at Flinders Medical Centre Neonatal Intensive Care Unit (NICU). The region-of-interest (ROI) was automatically selected based on a skin detection method using skin hue. The experimental results have been validated with the reference data obtained from an ECG monitor, and they showed a strong correlation using the Pearson correlation coefficient, (PCC) .9836 and .9426 for HR and RR, respectively, and a lower error rate with RMSE 2.66 beats/min and 2.93 breaths/min between measured data and reference data. A Bland Altman analysis of the data also presented a close correlation between measured data and reference data for both HR and RR with a mean bias .69 beats/min and .28 breaths/min, and the lower and upper limit of agreement −4.4 to +5.8 beats/min and −5.5 to +6.1 breaths/min, respectively. Therefore, video camera imaging may replace conventional monitoring in NICU and has potential applications in other contexts such as home health monitoring.

KeywordsHeart rate; respiratory rate; neonates; NICU; digital camera; skin detection
Contains Sensitive ContentDoes not contain sensitive content
ANZSRC Field of Research 20204007. Control engineering, mechatronics and robotics
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Byline AffiliationsUniversity of South Australia
Middle East Technical University, Turkey
Defence Science and Technology Group, Australia
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