loading
Documents

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Stefanie Kaiser ; Malte Kirst and Christophe Kunze

Affiliation: FZI Research Center for Information Technology, Germany

ISBN: 978-989-8111-65-4

Keyword(s): Atrial fibrillation, Atrial flutter, Automatic detection, Mobile device, Tachogram, Morphological filters.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Biomedical Engineering ; Biomedical Signal Processing ; Computer Vision, Visualization and Computer Graphics ; Medical Image Detection, Acquisition, Analysis and Processing ; Real-Time Systems

Abstract: Two versions of a new detector for automatic real-time detection of atrial fibrillation and atrial flutter in non-invasive ECG signals are introduced. The methods are based on beat to beat variability, tachogram analysis and simple signal filtering. The implementation on mobile devices is made possible due to the low demand on computing power of the employed analysis procedures. The proposed algorithms correctly identified 436 of 440 five minute episodes of atrial fibrillation or flutter and also correctly identified up to 302 of 342 episodes of no atrial fibrillation, including normal sinus rhythm as well as other cardiac arrhythmias. These numbers correspond to a sensitivity of 99.1% and a specificity of 88.3%.

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 3.93.75.30

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:
Kaiser S.; Kirst M.; Kunze C. and (2009). AUTOMATIC DETECTION OF ATRIAL FIBRILLATION AND FLUTTER - A Tachogram-based Algorithm for Mobile Devices.In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2009) ISBN 978-989-8111-65-4, pages 131-138. DOI: 10.5220/0001547201310138

@conference{biosignals09,
author={Stefanie Kaiser and Malte Kirst and Christophe Kunze},
title={AUTOMATIC DETECTION OF ATRIAL FIBRILLATION AND FLUTTER - A Tachogram-based Algorithm for Mobile Devices},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2009)},
year={2009},
pages={131-138},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001547201310138},
isbn={978-989-8111-65-4},
}

TY - CONF

JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2009)
TI - AUTOMATIC DETECTION OF ATRIAL FIBRILLATION AND FLUTTER - A Tachogram-based Algorithm for Mobile Devices
SN - 978-989-8111-65-4
AU - Kaiser, S.
AU - Kirst, M.
AU - Kunze, C.
PY - 2009
SP - 131
EP - 138
DO - 10.5220/0001547201310138

Login or register to post comments.

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