loading
Documents

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Liliana Ironi and Stefania Tentoni

Affiliation: IMATI - CNR, Italy

ISBN: 978-989-8425-38-6

Keyword(s): Biomedical imaging; functional imaging; image based diagnosis; spatial aggregation; computational geometry; electrocardiography.

Abstract: In this work we focus on Electrocardiographic diagnosis based on epicardial activation fields. The identification, within an activation map, of specific patterns that are known to characterize classes of pathologies provides an important support to the diagnosis of rhythm disturbances that can be missed by routine low resolution ECGs. Through an approach grounded on the integration of a Spatial Aggregation (SA) method with concepts borrowed from Computational Geometry, we propose a computational framework to automatically extract, from input epicardial activation data, a few basic features that characterize the wavefront propagation, as well as amore specific set of diagnostic features that identify an important class of rhythm pathologies due to block of conduction.

PDF ImageFull Text

Download
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 3.233.215.196

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:
Ironi, L. and Tentoni, S. (2011). An Automated Tool for the Detection of Electrocardiographic Diagnostic Features based on Spatial Aggregation and Computational Geometry.In Proceedings of the 2nd International Workshop on Medical Image Analysis and Description for Diagnosis Systems - Volume 1: MIAD, (BIOSTEC 2011) ISBN 978-989-8425-38-6, pages 3-12. DOI: 10.5220/0003197500030012

@conference{miad11,
author={Liliana Ironi. and Stefania Tentoni.},
title={An Automated Tool for the Detection of Electrocardiographic Diagnostic Features based on Spatial Aggregation and Computational Geometry},
booktitle={Proceedings of the 2nd International Workshop on Medical Image Analysis and Description for Diagnosis Systems - Volume 1: MIAD, (BIOSTEC 2011)},
year={2011},
pages={3-12},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003197500030012},
isbn={978-989-8425-38-6},
}

TY - CONF

JO - Proceedings of the 2nd International Workshop on Medical Image Analysis and Description for Diagnosis Systems - Volume 1: MIAD, (BIOSTEC 2011)
TI - An Automated Tool for the Detection of Electrocardiographic Diagnostic Features based on Spatial Aggregation and Computational Geometry
SN - 978-989-8425-38-6
AU - Ironi, L.
AU - Tentoni, S.
PY - 2011
SP - 3
EP - 12
DO - 10.5220/0003197500030012

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.