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
|Author:||Alikhani, Iman1; Noponen, Kai1; Hautala, Arto1;|
1Physiological Signal Analysis Group, Center for Machine Vision and Signal Analysis, University of Oulu, Oulu, Finland
2Swiss Federal Institute of Sport, Magglingen, Switzerland
|Online Access:||PDF Full Text (PDF, 0.3 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2019082124953
SCITEPRESS Science And Technology Publications,
|Publish Date:|| 2019-08-21
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.
|Pages:||88 - 95|
|Host publication editor:||
van den Broek, Egon L.
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
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