Model‐Free Inference Of Information Flow Among Physiological Signals In Type 1 Diabetes Subjects Using Multivariate Transfer Entropy
| dc.contributor.author | Hettiarachchi, Chirath | |
| dc.contributor.author | Daskalaki, Eleni | |
| dc.contributor.author | Malagutti, Nicolo | |
| dc.contributor.author | Nolan, Christopher | |
| dc.contributor.author | Suominen, Hanna | |
| dc.contributor.editor | Garg, Satish K. | |
| dc.coverage.spatial | virtual | |
| dc.date.accessioned | 2024-07-16T04:57:52Z | |
| dc.date.available | 2024-07-16T04:57:52Z | |
| dc.date.created | 2-5 June | |
| dc.date.issued | 2021 | |
| dc.date.updated | 2024-01-07T07:16:11Z | |
| dc.description.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 | |
| dc.format.mimetype | application/pdf | en_AU |
| dc.identifier.issn | 1520-9156 | |
| dc.identifier.uri | https://hdl.handle.net/1885/733713949 | |
| dc.language.iso | en_AU | en_AU |
| dc.publisher | Mary Ann Liebert Inc. | |
| dc.relation.ispartofseries | 14th International Conference on Advanced Technologies and Treatments for Diabetes | |
| dc.rights | © Mary Ann Liebert, Inc. | |
| dc.rights.license | Creative Commons Attribution 4.0 International CC BY License | |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
| dc.source | Diabetes Technology and Therapeutics | |
| dc.title | Model‐Free Inference Of Information Flow Among Physiological Signals In Type 1 Diabetes Subjects Using Multivariate Transfer Entropy | |
| dc.type | Conference paper | |
| dcterms.accessRights | Open Access | |
| local.bibliographicCitation.issue | S2 | |
| local.bibliographicCitation.lastpage | A-99 | |
| local.bibliographicCitation.startpage | A-99 | |
| local.contributor.affiliation | Hettiarachchi, Chirath, RSCH Research & Innovation Portfolio, ANU | |
| local.contributor.affiliation | Daskalaki, Eleni, College of Engineering, Computing and Cybernetics, ANU | |
| local.contributor.affiliation | Malagutti, Nicolo, College of Engineering, Computing and Cybernetics, ANU | |
| local.contributor.affiliation | Nolan, Christopher, College of Health and Medicine, ANU | |
| local.contributor.affiliation | Suominen, Hanna, College of Engineering, Computing and Cybernetics, ANU | |
| local.contributor.authoruid | Hettiarachchi, Chirath, u7041472 | |
| local.contributor.authoruid | Daskalaki, Eleni, u1085378 | |
| local.contributor.authoruid | Malagutti, Nicolo, u4738997 | |
| local.contributor.authoruid | Nolan, Christopher, u1820721 | |
| local.contributor.authoruid | Suominen, Hanna, u4872279 | |
| local.description.notes | Imported from ARIES | |
| local.description.refereed | Yes | |
| local.identifier.absfor | 460103 - Applications in life sciences | |
| local.identifier.absfor | 320602 - Medical biotechnology diagnostics (incl. biosensors) | |
| local.identifier.ariespublication | u6662439xPUB50 | |
| local.identifier.doi | 10.1089/dia.2021.2525.abstracts | |
| local.publisher.url | https://www.liebertpub.com/doi/10.1089/dia.2021.2525.abstracts | |
| local.type.status | Published Version | |
| publicationvolume.volumeNumber | 23 |
Downloads
Original bundle
1 - 1 of 1
Loading...
- Name:
- Model‐Free Inference Of Information Flow.pdf
- Size:
- 45.78 KB
- Format:
- Adobe Portable Document Format