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Authors: Ana Castro 1 ; Ali Moukadem 2 ; Samuel Schmidt 3 ; Alain Dieterlen 2 and Miguel T. Coimbra 1

Affiliations: 1 Universidade do Porto, Portugal ; 2 University of Haute Alsace, France ; 3 Aalborg University, Denmark

ISBN: 978-989-758-069-7

Keyword(s): Electrocardiogram, Phonocardiogram, Heart Sound, Exercise, Stress.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Biomedical Engineering ; Biomedical Signal Processing ; Cardiovascular Signals ; Computer Vision, Visualization and Computer Graphics ; Devices ; Health Information Systems ; Human-Computer Interaction ; Medical Image Detection, Acquisition, Analysis and Processing ; Physiological Computing Systems ; Wearable Sensors and Systems

Abstract: In this exploratory study we propose to analyze, in healthy adult volunteers, the heart electrical (electrocardiogram, ECG) and mechanical (phonocardiogram, PCG) activity during exercise. Heart sounds amplitude, frequency content, and RS2, may be important features in the non-invasive assessment of heart activity, such as for the estimation of cardiac output and blood pressure. Nine healthy volunteers were monitored with ECG and PCG simultaneously, under a stress test. After each workload level a 10 s window of signal was collected. PCG first (S1) and second (S2) heart sounds were manually annotated, based on time of QRS complex occurrence. A QRS detector was implemented to detect the QRS complex, and time intervals between electrical and mechanical events. Extracted features were analyzed in relation to heart rate (HR), including RS2, S1 and S2 amplitudes, and high frequency content of S1 and S2. Spearman correlation was used. Changes between baseline and maximum workload stage/HR fo r each volunteer were analyzed. Significant correlation was observed between HR, and all characteristics extracted (P<0.01). There was a clear difference between all variables from baseline to maximum workload level: with increasing workload/HR heart sounds amplitude increased (more pronounced in S1), RS2 decreased, and high frequency content of S2 decreased in relation to the high frequency content of S1, demonstrating that dynamic cardiovascular relations are individualized during cardiac stress and that assumptions for resting conditions may not be assumed. (More)

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Paper citation in several formats:
Castro, A.; Moukadem, A.; Schmidt, S.; Dieterlen, A. and T. Coimbra, M. (2015). Analysis of the Electromechanical Activity of the Heart from Synchronized ECG and PCG Signals of Subjects Under Stress.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 49-56. DOI: 10.5220/0005202400490056

@conference{biosignals15,
author={Ana Castro. and Ali Moukadem. and Samuel Schmidt. and Alain Dieterlen. and Miguel T. Coimbra.},
title={Analysis of the Electromechanical Activity of the Heart from Synchronized ECG and PCG Signals of Subjects Under Stress},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2015)},
year={2015},
pages={49-56},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005202400490056},
isbn={978-989-758-069-7},
}

TY - CONF

JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2015)
TI - Analysis of the Electromechanical Activity of the Heart from Synchronized ECG and PCG Signals of Subjects Under Stress
SN - 978-989-758-069-7
AU - Castro, A.
AU - Moukadem, A.
AU - Schmidt, S.
AU - Dieterlen, A.
AU - T. Coimbra, M.
PY - 2015
SP - 49
EP - 56
DO - 10.5220/0005202400490056

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