loading
Documents

Research.Publish.Connect.

Paper

Paper Unlock

Authors: S. Zaunseder 1 ; W. Aipperspach 2 and R. Poll 2

Affiliations: 1 Fraunhofer IPMS, Germany ; 2 Dresden University of Technology, Germany

ISBN: 978-989-674-018-4

Keyword(s): Ischaemia, Heart-rate related ST-episodes, Karhunen-Lo`eve-Transformation, Ventricular repolarization, Artificial neural networks, Online classification.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Artificial Intelligence ; Biomedical Engineering ; Biomedical Signal Processing ; Computational Intelligence ; Computer Vision, Visualization and Computer Graphics ; Data Manipulation ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Medical Image Detection, Acquisition, Analysis and Processing ; Methodologies and Methods ; Neural Networks ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Real-Time Systems ; Sensor Networks ; Signal Processing ; Soft Computing ; Theory and Methods

Abstract: Transient ST-epsiodes recognized in the ECG are regarded as marker of myocardial ischemia. As disturbed ST-sections may appear as ST-episodes a differentiated analysis is necessary to avoid misinterpretations. The presented study aims for the discrimination of ischemic and heart-rate related ST-episodes. Our approach includes the morphologic description of the ventricular repolarization by means of the Karhunen-Loève- Transformation and the non-linear classification using an artificial neural network. The proposed selection of used ECG segments guarantees that the classification procedure indicating ischemic attacks can be done before the complete episode is acquired. This online-capable approach gains accuracies up to 94,2 % for the discrimination of ischemic and heart-rate related ST-episodes.

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 34.237.76.91

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:
Zaunseder S.; Aipperspach W.; Poll R. and (2010). DISCRIMINATION BETWEEN ISCHEMIC AND HEART-RATE RELATED ST-EPISODES - Non-linear Classification for an Online Capable Approach.In Proceedings of the Third International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2010) ISBN 978-989-674-018-4, pages 245-251. DOI: 10.5220/0002722802450251

@conference{biosignals10,
author={S. Zaunseder and W. Aipperspach and R. Poll},
title={DISCRIMINATION BETWEEN ISCHEMIC AND HEART-RATE RELATED ST-EPISODES - Non-linear Classification for an Online Capable Approach},
booktitle={Proceedings of the Third International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2010)},
year={2010},
pages={245-251},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002722802450251},
isbn={978-989-674-018-4},
}

TY - CONF

JO - Proceedings of the Third International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2010)
TI - DISCRIMINATION BETWEEN ISCHEMIC AND HEART-RATE RELATED ST-EPISODES - Non-linear Classification for an Online Capable Approach
SN - 978-989-674-018-4
AU - Zaunseder, S.
AU - Aipperspach, W.
AU - Poll, R.
PY - 2010
SP - 245
EP - 251
DO - 10.5220/0002722802450251

Login or register to post comments.

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