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
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.