University of Oulu

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, (BIOSTEC 2017) ISBN 978-989-758-213-4, pages 88-95. DOI: 10.5220/0006144100880095

Spectral data fusion for robust ECG-derived respiration with experiments in different physical activity levels

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Author: Alikhani, Iman1; Noponen, Kai1; Hautala, Arto1;
Organizations: 1Physiological Signal Analysis Group, Center for Machine Vision and Signal Analysis, University of Oulu, Oulu, Finland
2Swiss Federal Institute of Sport, Magglingen, Switzerland
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 0.3 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe2019082124953
Language: English
Published: SCITEPRESS Science And Technology Publications, 2017
Publish Date: 2019-08-21
Description:

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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ISBN: 978-989-758-213-4
Volume: 5
Pages: 88 - 95
DOI: 10.5220/0006144100880095
OADOI: https://oadoi.org/10.5220/0006144100880095
Host publication editor: van den Broek, Egon L.
Fred, Ana
Gamboa, Hugo
Vaz, Mário
Conference: International Joint Conference on Biomedical Engineering Systems and Technologies
Type of Publication: A4 Article in conference proceedings
Field of Science: 213 Electronic, automation and communications engineering, electronics
3111 Biomedicine
Subjects:
Copyright information: © 2017 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved.