ECG-Derived Respiration - Complete Implementation and its Evaluation with Use of Clinical Data
Szymon Buś , Konrad Jędrzejewski
Abstract—The paper presents the results of studies devoted to development of the complete (end-to-end) and effective implementation of the method for reconstruction of a respiration signal from electrocardiogram (ECG). The methods for deriving a reliable information about patient’s respiration activity without a necessity to make measurements other than ECG are generally referred to as ECG-derived respiration (EDR). Several well recognized signal processing techniques used in the subsequent stages of ECG signal processing for deriving the respiratory signal were analyzed and evaluated with use of clinical data. It allowed us to select the adequate solutions for our implementation. The results of evaluations obtained with three different variants of EDR are presented and discussed. The implementation was tested with clinical data containing simultaneously recorded 2-channel ECG signals and reference respiration signals registered with use of chest belt and strain gauge.
|Publication size in sheets||0.5|
|Book||Proceedings 2018 International Conference of Signals and Electronic Systems (ICSES), 2018, IEEE, ISBN 978-1-5386-6767-5, 309 p.|
|Keywords in English||ECG, ECG-derived respiration, biomedical signal processing, respiratory signal|
|project||Research on measurement, circuit and signal theory and electronic circuits and systems. Project leader: Starecki Tomasz,
, Phone: +48 22 234 7744; +48 22 234 3657, start date 05-06-2017, end date 31-10-2018, ISE/2017/DS, Completed
|Score|| = 15.0, 26-04-2019, ChapterFromConference|
= 15.0, 26-04-2019, ChapterFromConference
|Publication indicators||= 0|
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