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

doi:10.1145/3325424.3329670

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

Department of Computer Science and Information Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Citations (Scopus)

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 language	English
Title of host publication	WearSys 2019 - Proceedings of the 5th ACM Workshop on Wearable Systems and Applications, co-located with MobiSys 2019
Publisher	Association for Computing Machinery, Inc
Pages	39-40
Number of pages	2
ISBN (Electronic)	9781450367752
DOIs	https://doi.org/10.1145/3325424.3329670
Publication status	Published - 2019 Jun 12
Event	5th ACM Workshop on Wearable Systems and Applications, WearSys 2019, co-located with MobiSys 2019 - Seoul, Korea, Republic of Duration: 2019 Jun 21 → …

Publication series

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

Conference

Conference	5th ACM Workshop on Wearable Systems and Applications, WearSys 2019, co-located with MobiSys 2019
Country/Territory	Korea, Republic of
City	Seoul
Period	19-06-21 → …

All Science Journal Classification (ASJC) codes

Hardware and Architecture
Software
Computer Networks and Communications

Access to Document

10.1145/3325424.3329670

Cite this

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

Raknim, Paweeya ; Lan, Kun Chan ; Linker, Yung Chieh et al. / Position on the use of low-cost sensors for non-intrustive newborn sepsis monitoring. WearSys 2019 - Proceedings of the 5th ACM Workshop on Wearable Systems and Applications, co-located with MobiSys 2019. Association for Computing Machinery, Inc, 2019. pp. 39-40 (WearSys 2019 - Proceedings of the 5th ACM Workshop on Wearable Systems and Applications, co-located with MobiSys 2019).

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title = "Position on the use of low-cost sensors for non-intrustive newborn sepsis monitoring",

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.",

author = "Paweeya Raknim and Lan, {Kun Chan} and Linker, {Yung Chieh} and Lu, {Yen Tzu}",

year = "2019",

month = jun,

day = "12",

doi = "10.1145/3325424.3329670",

language = "English",

series = "WearSys 2019 - Proceedings of the 5th ACM Workshop on Wearable Systems and Applications, co-located with MobiSys 2019",

publisher = "Association for Computing Machinery, Inc",

pages = "39--40",

booktitle = "WearSys 2019 - Proceedings of the 5th ACM Workshop on Wearable Systems and Applications, co-located with MobiSys 2019",

note = "5th ACM Workshop on Wearable Systems and Applications, WearSys 2019, co-located with MobiSys 2019 ; Conference date: 21-06-2019",

}

Raknim, P, Lan, KC, Linker, YC & Lu, YT 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. WearSys 2019 - Proceedings of the 5th ACM Workshop on Wearable Systems and Applications, co-located with MobiSys 2019, Association for Computing Machinery, Inc, pp. 39-40, 5th ACM Workshop on Wearable Systems and Applications, WearSys 2019, co-located with MobiSys 2019, Seoul, Korea, Republic of, 19-06-21. https://doi.org/10.1145/3325424.3329670

Position on the use of low-cost sensors for non-intrustive newborn sepsis monitoring. / Raknim, Paweeya; Lan, Kun Chan; Linker, Yung Chieh et al.

WearSys 2019 - Proceedings of the 5th ACM Workshop on Wearable Systems and Applications, co-located with MobiSys 2019. Association for Computing Machinery, Inc, 2019. p. 39-40 (WearSys 2019 - Proceedings of the 5th ACM Workshop on Wearable Systems and Applications, co-located with MobiSys 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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N2 - 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.

AB - 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.

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M3 - Conference contribution

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

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Raknim P, Lan KC, Linker YC, Lu YT. 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. Association for Computing Machinery, Inc. 2019. p. 39-40. (WearSys 2019 - Proceedings of the 5th ACM Workshop on Wearable Systems and Applications, co-located with MobiSys 2019). doi: 10.1145/3325424.3329670

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

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