Abstract
The electrocardiogram (ECG) appears highly individual in nature. By applying the Symmetric Projection Attractor Reconstruction (SPAR) method, we obtain a unique visualisation of an individual's ECG and show how the subtle inter- and intra-individual differences observed may be quantified. This preliminary study supports further development of the novel SPAR approach for patient stratification and monitoring.
Original language | English |
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Title of host publication | 2021 Computing in Cardiology, CinC 2021 |
Publisher | IEEE Computer Society |
ISBN (Electronic) | 9781665479165 |
DOIs | |
Publication status | Published - 2021 |
Event | 2021 Computing in Cardiology, CinC 2021 - Brno, Czech Republic Duration: 13 Sept 2021 → 15 Sept 2021 |
Publication series
Name | Computing in Cardiology |
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Volume | 2021-September |
ISSN (Print) | 2325-8861 |
ISSN (Electronic) | 2325-887X |
Conference
Conference | 2021 Computing in Cardiology, CinC 2021 |
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Country/Territory | Czech Republic |
City | Brno |
Period | 13/09/2021 → 15/09/2021 |
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Symmetric Projection Attractor Reconstruction: Higher Dimensional Embedding and Application to ECG Signals
Lyle, J. (Author), Nandi, M. (Author) & Aston, P. (Author), Nandi, M. (Supervisor) & Aston, P. (Supervisor), 2022Student thesis: Doctoral Thesis › Doctor of Philosophy