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Artificial intelligence-driven wearable technologies for neonatal cardiorespiratory monitoring: Part 1 wearable technology

Grooby, Ethan; Sitaula, Chiranjibi; Chang Kwok, T'ng; Sharkey, Don; Marzbanrad, Faezeh; Malhotra, Atul


Ethan Grooby

Chiranjibi Sitaula

Clinical Research Fellow in Neonatal Medicine

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Professor of Neonatal Medicine and Technologies

Faezeh Marzbanrad

Atul Malhotra


Abstract: With the development of Artificial Intelligence techniques, smart health monitoring is becoming more popular. In this study, we investigate the trend of wearable sensors being adopted and developed in neonatal cardiorespiratory monitoring. We performed a search of papers published from the year 2000 onwards. We then reviewed the advances in sensor technologies and wearable modalities for this application.Common wearable modalities included clothing (39%); chest/abdominal belts (25%); and adhesive patches (15%). Popular singular physiological information from sensors included electrocardiogram (15%), breathing (24%), oxygen saturation and photoplethysmography (13%). Many studies (46%) incorporated a combination of these signals.There has been extensive research in neonatal cardiorespiratory monitoring using both single and multi-parameter systems. Poor data quality is a common issue and further research into combining multi-sensor information to alleviate this should be investigated. Impact statement: State-of-the-art review of sensor technology for wearable neonatal cardiorespiratory monitoring.Review of the designs for wearable neonatal cardiorespiratory monitoring.The use of multi-sensor information to improve physiological data quality has been limited in past research.Several sensor technologies have been implemented and tested on adults that have yet to be explored in the newborn population.


Grooby, E., Sitaula, C., Chang Kwok, T., Sharkey, D., Marzbanrad, F., & Malhotra, A. (2023). Artificial intelligence-driven wearable technologies for neonatal cardiorespiratory monitoring: Part 1 wearable technology. Pediatric Research, 93(2), 413-425.

Journal Article Type Article
Acceptance Date Nov 29, 2022
Online Publication Date Jan 2, 2023
Publication Date Jan 2, 2023
Deposit Date Feb 27, 2023
Publicly Available Date Jul 3, 2023
Journal Pediatric Research
Print ISSN 0031-3998
Electronic ISSN 1530-0447
Publisher Nature Publishing Group
Peer Reviewed Peer Reviewed
Volume 93
Issue 2
Pages 413-425
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