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Authors: Iman Alikhani 1 ; Kai Noponen 1 ; Arto Hautala 1 ; Rahel Ammann 2 and Tapio Seppänen 1

Affiliations: 1 University of Oulu, Finland ; 2 Swiss Federal Institute of Sport, Switzerland

ISBN: 978-989-758-213-4

ISSN: 2184-4305

Keyword(s): Respiratory Sinus Arrhythmia, Heart Rate Variability, Spectral Fusion, R-peak Amplitude, QRS Morphological Shape, Time-frequency Analysis, Robustness, Single-channel ECG.

Related Ontology Subjects/Areas/Topics: Biomedical Engineering ; Biomedical Signal Processing ; Devices ; Health Information Systems ; Human-Computer Interaction ; Physiological Computing Systems ; Wearable Sensors and Systems

Abstract: In this paper, we study instant respiratory frequency extraction using single-channel electrocardiography (ECG) during mobile conditions such as high intensity exercise or household activities. Although there are a variety of ECG-derived respiration (EDR) methods available in the literature, their performance during such activities is not very well-studied. We propose a technique to boost the robustness and reliability of widely used and computationally efficient EDR methods, aiming to qualify them for ambulatory and daily monitoring. We fuse two independent sources of respiratory information available in ECG signal, including respiratory sinus arrhythmia (RSA) and morphological change of ECG time series, to enhance the accuracy and reliability of instant breathing rate estimation during ambulatory measurements. Our experimental results show that the fusion method outperforms individual methods in four different protocols, including household and sport activities.

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Paper citation in several formats:
Alikhani, I.; Noponen, K.; Hautala, A.; Ammann, R. and Seppänen, T. (2017). Spectral Data Fusion for Robust ECG-derived Respiration with Experiments in Different Physical Activity Levels.In Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5 HEALTHINF: HEALTHINF, (BIOSTEC 2017) ISBN 978-989-758-213-4, ISSN 2184-4305, pages 88-95. DOI: 10.5220/0006144100880095

@conference{healthinf17,
author={Iman Alikhani. and Kai Noponen. and Arto Hautala. and Rahel Ammann. and Tapio Seppänen.},
title={Spectral Data Fusion for Robust ECG-derived Respiration with Experiments in Different Physical Activity Levels},
booktitle={Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5 HEALTHINF: HEALTHINF, (BIOSTEC 2017)},
year={2017},
pages={88-95},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006144100880095},
isbn={978-989-758-213-4},
}

TY - CONF

JO - Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5 HEALTHINF: HEALTHINF, (BIOSTEC 2017)
TI - Spectral Data Fusion for Robust ECG-derived Respiration with Experiments in Different Physical Activity Levels
SN - 978-989-758-213-4
AU - Alikhani, I.
AU - Noponen, K.
AU - Hautala, A.
AU - Ammann, R.
AU - Seppänen, T.
PY - 2017
SP - 88
EP - 95
DO - 10.5220/0006144100880095

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