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Model‐Free Inference Of Information Flow Among Physiological Signals In Type 1 Diabetes Subjects Using Multivariate Transfer Entropy

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Date

2021

Authors

Hettiarachchi, Chirath
Daskalaki, Eleni
Malagutti, Nicolo
Nolan, Christopher
Suominen, Hanna

Journal Title

Journal ISSN

Volume Title

Publisher

Mary Ann Liebert Inc.

Abstract

The complexity and inter-subject variability of the glucoregulatory system calls for the integration of additional physiological signals in the daily management of glycaemia in Type 1 Diabetes (T1D). The aim of this study was to explore the Information Flow (IF) among different physiological signals in T1D subjects

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Keywords

Citation

URI

https://hdl.handle.net/1885/733713949

Collections

ANU Research Publications

Source

Diabetes Technology and Therapeutics

Type

Conference paper

Book Title

Entity type

Access Statement

Open Access

License Rights

Creative Commons Attribution 4.0 International CC BY License

DOI

10.1089/dia.2021.2525.abstracts

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Model‐Free Inference Of Information Flow.pdf (45.78 KB)

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