loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Authors: Hanadi Aldosari 1 ; 2 ; Frans Coenen 1 ; Gregory Y. H. Lip 3 and Yalin Zheng 3 ; 4

Affiliations: 1 Department of Computer Science, University of Liverpool, Liverpool, U.K. ; 2 College of Computer Science and Engineering, Taibah University, Madinah, Saudi Arabia ; 3 Liverpool Centre for Cardiovascular Science, University of Liverpool and Liverpool Heart & Chest Hospital, Liverpool, U.K. ; 4 Department of Eye and Vision Science, University of Liverpool, Liverpool, U.K.

Keyword(s): 2D Motifs, ECG Classification.

Abstract: A mechanism using the concept of 2D motifs to classify Electrocardiogram (ECG) data is presented. The motivation is that existing techniques typically first transform ECG data into a 1D signal (waveform) format and then extract a small number of features from this format for classification purposes. The transformation into the waveform format introduces an approximation of the data, and the consequent feature selection means that only a small part of the coarsened signal is utilised. The proposed approach works directly with the image format, no transformation takes place, features (motifs) are selected by considering the entire ECG image. It is argued that this produces a better classification than that which can be achieve using the waveform format. The proposed 2D Motif extraction approach is fully described and evaluated. Good results are returned, a best accuracy 85% in comparison with a best accuracy of 70% using a comparable 1D waveform approach. An analysis is also presented with respect to the augmentation of 2D motifs with 2D discords. (More)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.217.4.206

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Aldosari, H.; Coenen, F.; Lip, G. and Zheng, Y. (2022). Two-dimensional Motif Extraction from Images: A Study using an Electrocardiogram. In Proceedings of the 14th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2022) - KDIR; ISBN 978-989-758-614-9; ISSN 2184-3228, SciTePress, pages 19-28. DOI: 10.5220/0011380500003335

@conference{kdir22,
author={Hanadi Aldosari. and Frans Coenen. and Gregory Y. H. Lip. and Yalin Zheng.},
title={Two-dimensional Motif Extraction from Images: A Study using an Electrocardiogram},
booktitle={Proceedings of the 14th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2022) - KDIR},
year={2022},
pages={19-28},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011380500003335},
isbn={978-989-758-614-9},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2022) - KDIR
TI - Two-dimensional Motif Extraction from Images: A Study using an Electrocardiogram
SN - 978-989-758-614-9
IS - 2184-3228
AU - Aldosari, H.
AU - Coenen, F.
AU - Lip, G.
AU - Zheng, Y.
PY - 2022
SP - 19
EP - 28
DO - 10.5220/0011380500003335
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic