Artificial intelligence-driven wearable technologies for neonatal cardiorespiratory monitoring. Part 2: artificial intelligence.

Journal: Pediatric research
Published Date:

Abstract

BACKGROUND: With the development of Artificial Intelligence (AI) techniques, smart health monitoring, particularly neonatal cardiorespiratory monitoring with wearable devices, is becoming more popular. To this end, it is crucial to investigate the trend of AI and wearable sensors being developed in this domain.

Authors

  • Chiranjibi Sitaula
    Department of Electrical and Computer Systems Engineering, Monash University, Melbourne, VIC, Australia.
  • Ethan Grooby
    Department of Electrical and Computer Systems Engineering, Monash University, Melbourne, VIC, Australia.
  • T'ng Chang Kwok
    Centre for Perinatal Research, School of Medicine, University of Nottingham, E Floor, East Block, Queen's Medical Centre, Nottingham, NG7 2UH, UK.
  • Don Sharkey
    Centre for Perinatal Research, School of Medicine, University of Nottingham, E Floor, East Block, Queen's Medical Centre, Nottingham, NG7 2UH, UK. Electronic address: don.sharkey@nottingham.ac.uk.
  • Faezeh Marzbanrad
    Department of Electrical and Computer Systems Engineering, Monash University, Melbourne, VIC, Australia.
  • Atul Malhotra
    Division of Pulmonary, Critical Care, and Sleep Medicine, University of California, San Diego, La Jolla, CA. Electronic address: amalhotra@health.ucsd.edu.