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Unobtrusive monitoring of neonatal brain temperature using a zero-heat-flux sensor matrix

Louis Atallah, Edwin Bongers, Bishal Lamichhane, Sidarto Bambang-Oetomo

Research output: Contribution to journalArticlepeer-review

Abstract

The temperature of preterm neonates must be maintained within a narrow window to ensure their survival. Continuously measuring their core temperature provides an optimal means of monitoring their thermoregulation and their response to environmental changes. However, existing methods of measuring core temperature can be very obtrusive, such as rectal probes, or inaccurate/lagging, such as skin temperature sensors and spotchecks using tympanic temperature sensors. This study investigates an unobtrusive method of measuring brain temperature continuously using an embedded zero-heat-flux (ZHF) sensor matrix placed under the head of the neonate. The measured temperature profile is used to segment areas of motion and incorrect positioning, where the neonate's head is not above the sensors. We compare our measurements during low motion/stable periods to esophageal temperatures for 12 preterm neonates, measured for an average of 5 h per neonate. The method we propose shows good correlation with the reference temperature for most of the neonates. The unobtrusive embedding of the matrix in the neonate's environment poses no harm or disturbance to the care work-flow, while measuring core temperature. To address the effect of motion on the ZHF measurements in the current embodiment, we recommend a more ergonomic embedding ensuring the sensors are continuously placed under the neonate's head.

Original languageEnglish (US)
Article number6994739
Pages (from-to)100-107
Number of pages8
JournalIEEE Journal of Biomedical and Health Informatics
Volume20
Issue number1
DOIs
StatePublished - Jan 2016

Keywords

  • Core temperature
  • Sensing
  • Unobtrusive sensors
  • zero-heat-flux

ASJC Scopus subject areas

  • Computer Science Applications
  • Health Informatics
  • Electrical and Electronic Engineering
  • Health Information Management

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