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

Alikhani, Iman; Noponen, Kai; Hautala, Arto; Ammann, Rahel; Tapio, Seppänen (2016). 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 (p. 8). SCITEPRESS

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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.

Item Type:

Conference or Workshop Item (Paper)

Division/Institute:

Swiss Federal Institute of Sports Magglingen SFISM > EHSM - Lehre und Sportpädagogik > Monitoring

Name:

Alikhani, Iman;
Noponen, Kai;
Hautala, Arto;
Ammann, Rahel and
Tapio, Seppänen

Publisher:

SCITEPRESS

Language:

English

Submitter:

Service Account

Date Deposited:

06 Dec 2021 14:51

Last Modified:

06 Dec 2021 14:51

Uncontrolled Keywords:

Respiratory Sinus Arrhythmia Heart Rate Variability Spectral Fusion R-peak Amplitude QRS Morphological Shape Time-frequency Analysis Robustness Single-channel ECG

ARBOR DOI:

10.24451/arbor.10423

URI:

https://arbor.bfh.ch/id/eprint/10423

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