Heart rate variability diagnostics using graph-based consensus clustering

Herbert Jelinek, David J Cornforth, Andrei Kelarev

Research output: Book chapter/Published conference paperConference paper

Original languageEnglish
Title of host publicationProceedings of the Applied Informatics and Technology Innovation Conference (AITIC)
PublisherSpringer
Publication statusPublished - 2019
EventApplied Informatics and Technology Innovation Conference (AITIC) - University of Newcastle, Newcastle, Australia
Duration: 22 Nov 201624 Nov 2016
http://air.newcastle.edu.au/AIR_files/Conference2016.html

Conference

ConferenceApplied Informatics and Technology Innovation Conference (AITIC)
CountryAustralia
CityNewcastle
Period22/11/1624/11/16
OtherInformatics concerns the use of information, and addresses research questions about how information is generated, processed and used, irrespective of the domain or application area. Applied Informatics is the study of Information & Communication Technology (ICT) and its uses, with emphasis on its application to real-world problems. The topics for the conference focus on applications for assisting industry and organisations to understand, and ultimately leverage, the data that they capture and store. AITIC 2016 features international research in informatics and related areas, with a focus on practical applications and innovations that can be exploited for the benefit of business solutions. The Applied Informatics Research (AIR) Group is organising this conference to provide an opportunity to meet with other researchers in the areas, and to share recent results in research in this field. The conference will be interdisciplinary in nature, and we encourage submissions from both academics and practitioners.
Internet address

Cite this

Jelinek, H., Cornforth, D. J., & Kelarev, A. (2019). Heart rate variability diagnostics using graph-based consensus clustering. In Proceedings of the Applied Informatics and Technology Innovation Conference (AITIC) Springer.
Jelinek, Herbert ; Cornforth, David J ; Kelarev, Andrei. / Heart rate variability diagnostics using graph-based consensus clustering. Proceedings of the Applied Informatics and Technology Innovation Conference (AITIC). Springer, 2019.
@inproceedings{95117d602d3e4ba7b27d424327b7de5b,
title = "Heart rate variability diagnostics using graph-based consensus clustering",
author = "Herbert Jelinek and Cornforth, {David J} and Andrei Kelarev",
year = "2019",
language = "English",
booktitle = "Proceedings of the Applied Informatics and Technology Innovation Conference (AITIC)",
publisher = "Springer",
address = "United States",

}

Jelinek, H, Cornforth, DJ & Kelarev, A 2019, Heart rate variability diagnostics using graph-based consensus clustering. in Proceedings of the Applied Informatics and Technology Innovation Conference (AITIC). Springer, Applied Informatics and Technology Innovation Conference (AITIC), Newcastle, Australia, 22/11/16.

Heart rate variability diagnostics using graph-based consensus clustering. / Jelinek, Herbert; Cornforth, David J; Kelarev, Andrei.

Proceedings of the Applied Informatics and Technology Innovation Conference (AITIC). Springer, 2019.

Research output: Book chapter/Published conference paperConference paper

TY - GEN

T1 - Heart rate variability diagnostics using graph-based consensus clustering

AU - Jelinek, Herbert

AU - Cornforth, David J

AU - Kelarev, Andrei

PY - 2019

Y1 - 2019

UR - http://air.newcastle.edu.au/AITIC_files/AITIC_2016_Conference_Program.pdf

UR - http://air.newcastle.edu.au/AIR_files/Conference2016.html

M3 - Conference paper

BT - Proceedings of the Applied Informatics and Technology Innovation Conference (AITIC)

PB - Springer

ER -

Jelinek H, Cornforth DJ, Kelarev A. Heart rate variability diagnostics using graph-based consensus clustering. In Proceedings of the Applied Informatics and Technology Innovation Conference (AITIC). Springer. 2019