Abstract
The ordinal network construction method was proposed at ISCAS2013. Since then a great deal of theoretical and experimental work has developed these methods to the point where they can be applied as a diagnostic tool to understand changing system behaviour from observed time series. We now also have a solid theoretical understanding of what these methods measure and why this is useful. This talk will review the method and demonstrate its application to computation and experimental systems with the aim of detecting changes or bifurcations in the underlying system. We will conclude with applications to biosignal processing for cardiac interbeat interval time series and electroencephalograms.
| Original language | English |
|---|---|
| Title of host publication | 2018 IEEE International Symposium on Circuits and Systems, ISCAS 2018 - Proceedings |
| Publisher | IEEE, Institute of Electrical and Electronics Engineers |
| Volume | 2018-May |
| ISBN (Electronic) | 9781538648810 |
| DOIs | |
| Publication status | Published - 26 Apr 2018 |
| Event | 2018 IEEE International Symposium on Circuits and Systems, ISCAS 2018 - Firenze Fiera Congress and Exhibition Center, Florence, Italy Duration: 27 May 2018 → 30 May 2018 |
Conference
| Conference | 2018 IEEE International Symposium on Circuits and Systems, ISCAS 2018 |
|---|---|
| Country | Italy |
| City | Florence |
| Period | 27/05/18 → 30/05/18 |
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Ordinal Network Measures - Quantifying Determinism in Data. / Small, Michael; McCullough, Michael; Sakellariou, Konstantinos.
2018 IEEE International Symposium on Circuits and Systems, ISCAS 2018 - Proceedings. Vol. 2018-May IEEE, Institute of Electrical and Electronics Engineers, 2018. 8351743.Research output: Chapter in Book/Conference paper › Conference paper
TY - GEN
T1 - Ordinal Network Measures - Quantifying Determinism in Data
AU - Small, Michael
AU - McCullough, Michael
AU - Sakellariou, Konstantinos
PY - 2018/4/26
Y1 - 2018/4/26
N2 - The ordinal network construction method was proposed at ISCAS2013. Since then a great deal of theoretical and experimental work has developed these methods to the point where they can be applied as a diagnostic tool to understand changing system behaviour from observed time series. We now also have a solid theoretical understanding of what these methods measure and why this is useful. This talk will review the method and demonstrate its application to computation and experimental systems with the aim of detecting changes or bifurcations in the underlying system. We will conclude with applications to biosignal processing for cardiac interbeat interval time series and electroencephalograms.
AB - The ordinal network construction method was proposed at ISCAS2013. Since then a great deal of theoretical and experimental work has developed these methods to the point where they can be applied as a diagnostic tool to understand changing system behaviour from observed time series. We now also have a solid theoretical understanding of what these methods measure and why this is useful. This talk will review the method and demonstrate its application to computation and experimental systems with the aim of detecting changes or bifurcations in the underlying system. We will conclude with applications to biosignal processing for cardiac interbeat interval time series and electroencephalograms.
KW - chaos
KW - complex network
KW - nonlinear time series
KW - ordinal network
UR - http://www.scopus.com/inward/record.url?scp=85057094237&partnerID=8YFLogxK
U2 - 10.1109/ISCAS.2018.8351743
DO - 10.1109/ISCAS.2018.8351743
M3 - Conference paper
VL - 2018-May
BT - 2018 IEEE International Symposium on Circuits and Systems, ISCAS 2018 - Proceedings
PB - IEEE, Institute of Electrical and Electronics Engineers
ER -