Sparse-input Detection Algorithm with Applications in Electrocardiography and Ballistocardiography

F. Wadehn, L. Bruderer, D. Waltisberg, T. Keresztfalvi, Hans -A. Loeliger

Abstract

Sparse-input learning, especially of inputs with some form of periodicity, is of major importance in bio-signal processing, including electrocardiography and ballistocardiography. Ballistocardiography (BCG), the measurement of forces on the body, exerted by heart contraction and subsequent blood ejection, allows non-invasive and non-obstructive monitoring of several key biomarkers such as the respiration rate, the heart rate and the cardiac output. In the following we present an efficient online multi-channel algorithm for estimating single heart beat positions and their approximate strength using a statistical hypothesis test. The algorithm was validated with 10 minutes long ballistocardiographic recordings of 12 healthy subjects, comparing it to synchronized surface ECG measurements. The achieved mean error rate for the heart beat detection excluding movement artifacts was 4.7%.

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Paper Citation


in Harvard Style

Wadehn F., Bruderer L., Waltisberg D., Keresztfalvi T. and -A. Loeliger H. (2015). Sparse-input Detection Algorithm with Applications in Electrocardiography and Ballistocardiography . In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2015) ISBN 978-989-758-069-7, pages 21-30. DOI: 10.5220/0005186600210030


in Bibtex Style

@conference{biosignals15,
author={F. Wadehn and L. Bruderer and D. Waltisberg and T. Keresztfalvi and Hans -A. Loeliger},
title={Sparse-input Detection Algorithm with Applications in Electrocardiography and Ballistocardiography},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2015)},
year={2015},
pages={21-30},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005186600210030},
isbn={978-989-758-069-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2015)
TI - Sparse-input Detection Algorithm with Applications in Electrocardiography and Ballistocardiography
SN - 978-989-758-069-7
AU - Wadehn F.
AU - Bruderer L.
AU - Waltisberg D.
AU - Keresztfalvi T.
AU - -A. Loeliger H.
PY - 2015
SP - 21
EP - 30
DO - 10.5220/0005186600210030