Neonatal heart rate prediction

Yumna Abdel-Rahman; Aleksander Jeremic; Kenneth Tan

doi:10.1109/IEMBS.2009.5334205

Neonatal heart rate prediction

Yumna Abdel-Rahman, Aleksander Jeremic, Kenneth Tan

Paediatrics Monash Health

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

2 Citations (Scopus)

Abstract

Technological advances have caused a decrease in the number of infant deaths. Pre-term infants now have a substantially increased chance of survival. One of the mechanisms that is vital to saving the lives of these infants is continuous monitoring and early diagnosis. With continuous monitoring huge amounts of data are collected with so much information embedded in them. By using statistical analysis this information can be extracted and used to aid diagnosis and to understand development. In this study we have a large dataset containing over 180 pre-term infants whose heart rates were recorded over the length of their stay in the Neonatal Intensive Care Unit (NICU). We test two types of models, empirical bayesian and autoregressive moving average. We then attempt to predict future values. The autoregressive moving average model showed better results but required more computation.

Original language	English
Title of host publication	Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009
Editors	Xiaochuan Pan, Gregory Worrell
Place of Publication	Piscataway NJ USA
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	4695-4698
Number of pages	4
ISBN (Print)	9781424432967
DOIs	https://doi.org/10.1109/IEMBS.2009.5334205
Publication status	Published - 2009
Event	International Conference of the IEEE Engineering in Medicine and Biology Society 2009 - The Hilton Minneapolis, Minneapolis, United States of America Duration: 3 Sep 2009 → 6 Sep 2009 Conference number: 31st https://ieeexplore.ieee.org/xpl/conhome/5307844/proceeding (Proceedings)

Conference

Conference	International Conference of the IEEE Engineering in Medicine and Biology Society 2009
Abbreviated title	EMBC 2009
Country/Territory	United States of America
City	Minneapolis
Period	3/09/09 → 6/09/09
Internet address	https://ieeexplore.ieee.org/xpl/conhome/5307844/proceeding (Proceedings)

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10.1109/IEMBS.2009.5334205

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Abdel-Rahman, Y., Jeremic, A., & Tan, K. (2009). Neonatal heart rate prediction. In X. Pan, & G. Worrell (Eds.), Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009 (pp. 4695-4698). [5334205] IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/IEMBS.2009.5334205

Abdel-Rahman, Yumna ; Jeremic, Aleksander ; Tan, Kenneth. / Neonatal heart rate prediction. Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009. editor / Xiaochuan Pan ; Gregory Worrell. Piscataway NJ USA : IEEE, Institute of Electrical and Electronics Engineers, 2009. pp. 4695-4698

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publisher = "IEEE, Institute of Electrical and Electronics Engineers",

address = "United States of America",

note = "International Conference of the IEEE Engineering in Medicine and Biology Society 2009, EMBC 2009 ; Conference date: 03-09-2009 Through 06-09-2009",

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Abdel-Rahman, Y, Jeremic, A & Tan, K 2009, Neonatal heart rate prediction. in X Pan & G Worrell (eds), Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009., 5334205, IEEE, Institute of Electrical and Electronics Engineers, Piscataway NJ USA, pp. 4695-4698, International Conference of the IEEE Engineering in Medicine and Biology Society 2009, Minneapolis, Minnesota, United States of America, 3/09/09. https://doi.org/10.1109/IEMBS.2009.5334205

Neonatal heart rate prediction. / Abdel-Rahman, Yumna; Jeremic, Aleksander; Tan, Kenneth.

Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009. ed. / Xiaochuan Pan; Gregory Worrell. Piscataway NJ USA : IEEE, Institute of Electrical and Electronics Engineers, 2009. p. 4695-4698 5334205.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

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AB - Technological advances have caused a decrease in the number of infant deaths. Pre-term infants now have a substantially increased chance of survival. One of the mechanisms that is vital to saving the lives of these infants is continuous monitoring and early diagnosis. With continuous monitoring huge amounts of data are collected with so much information embedded in them. By using statistical analysis this information can be extracted and used to aid diagnosis and to understand development. In this study we have a large dataset containing over 180 pre-term infants whose heart rates were recorded over the length of their stay in the Neonatal Intensive Care Unit (NICU). We test two types of models, empirical bayesian and autoregressive moving average. We then attempt to predict future values. The autoregressive moving average model showed better results but required more computation.

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Abdel-Rahman Y, Jeremic A, Tan K. Neonatal heart rate prediction. In Pan X, Worrell G, editors, Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009. Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers. 2009. p. 4695-4698. 5334205 https://doi.org/10.1109/IEMBS.2009.5334205

Neonatal heart rate prediction

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