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

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

doi:10.1089/dia.2021.2525.abstracts

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

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

Research output: Contribution to journal › Meeting Abstract › peer-review

7 Citations (Scopus)

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

Original language	English
Pages (from-to)	99
Journal	Diabetes Technology and Therapeutics
DOIs	https://doi.org/10.1089/dia.2021.2525.abstracts
Publication status	Published - 2021
Event	14th International Conference on Advanced Technologies and Treatments for Diabetes - virtual Duration: 1 Jan 2021 → …

Access to Document

10.1089/dia.2021.2525.abstracts

Cite this

@article{3ef664f66cf647e588705e5d5950ebca,

title = "ModelFree Inference Of Information Flow Among Physiological Signals In Type 1 Diabetes Subjects Using Multivariate Transfer Entropy",

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",

author = "Chirath Hettiarachchi and Eleni Daskalaki and Nicolo Malagutti and Christopher Nolan and Hanna Suominen",

year = "2021",

doi = "10.1089/dia.2021.2525.abstracts",

language = "English",

pages = "99",

journal = "Diabetes Technology and Therapeutics",

issn = "1520-9156",

publisher = "Mary Ann Liebert Inc.",

note = "14th International Conference on Advanced Technologies and Treatments for Diabetes ; Conference date: 01-01-2021",

}

TY - JOUR

T1 - ModelFree Inference Of Information Flow Among Physiological Signals In Type 1 Diabetes Subjects Using Multivariate Transfer Entropy

AU - Hettiarachchi, Chirath

AU - Daskalaki, Eleni

AU - Malagutti, Nicolo

AU - Nolan, Christopher

AU - Suominen, Hanna

PY - 2021

Y1 - 2021

N2 - 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

AB - 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

UR - https://www.scopus.com/pages/publications/85107398856

U2 - 10.1089/dia.2021.2525.abstracts

DO - 10.1089/dia.2021.2525.abstracts

M3 - Meeting Abstract

SN - 1520-9156

SP - 99

JO - Diabetes Technology and Therapeutics

JF - Diabetes Technology and Therapeutics

T2 - 14th International Conference on Advanced Technologies and Treatments for Diabetes

Y2 - 1 January 2021

ER -

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

Abstract

Access to Document

Other files and links

Fingerprint

Cite this