Position on the use of low-cost sensors for non-intrustive newborn sepsis monitoring

Paweeya Raknim, Kun Chan Lan, Yung Chieh Linker, Yen Tzu Lu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Neonatal sepsis is a major health problem in the neonatal intensive care unit (NICU). We have developed an non-intrusive system to measure heart rate (HR) information based on BCG sensors embedded in the clothes of the newborn. We utilize multiple statistical metrics of heart rate characteristics (HRC) including RR intervals and of standard deviation of HR, sample asymmetry and sample entropy, to build a warning system for sepsis monitoring. Our system achieves a specificity rate close to 99% and a recall rate around 92% is currently operational at an university hospital.

Original languageEnglish
Title of host publicationWearSys 2019 - Proceedings of the 5th ACM Workshop on Wearable Systems and Applications, co-located with MobiSys 2019
PublisherAssociation for Computing Machinery, Inc
Pages39-40
Number of pages2
ISBN (Electronic)9781450367752
DOIs
Publication statusPublished - 2019 Jun 12
Event5th ACM Workshop on Wearable Systems and Applications, WearSys 2019, co-located with MobiSys 2019 - Seoul, Korea, Republic of
Duration: 2019 Jun 21 → …

Publication series

NameWearSys 2019 - Proceedings of the 5th ACM Workshop on Wearable Systems and Applications, co-located with MobiSys 2019

Conference

Conference5th ACM Workshop on Wearable Systems and Applications, WearSys 2019, co-located with MobiSys 2019
CountryKorea, Republic of
CitySeoul
Period19-06-21 → …

All Science Journal Classification (ASJC) codes

  • Hardware and Architecture
  • Software
  • Computer Networks and Communications

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    Raknim, P., Lan, K. C., Linker, Y. C., & Lu, Y. T. (2019). Position on the use of low-cost sensors for non-intrustive newborn sepsis monitoring. In WearSys 2019 - Proceedings of the 5th ACM Workshop on Wearable Systems and Applications, co-located with MobiSys 2019 (pp. 39-40). (WearSys 2019 - Proceedings of the 5th ACM Workshop on Wearable Systems and Applications, co-located with MobiSys 2019). Association for Computing Machinery, Inc. https://doi.org/10.1145/3325424.3329670