Deriving respiration from the electrocardiogram by serial comparison with statistical mean shape

A new algorithm to derive a surrogate respiration signal from a single-channel electrocardiogram (ECG) was developed. The generalized mean shape of QRS-complexes was estimated and then used as a template to measure scale variation interpreted as the respiration. Compared to four other ECG-derived re...

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Bibliographic Details
Main Authors: Noponen, K., Tiinanen, S., Seppanen, T.
Format: Conference Proceeding
Language:English
Subjects:
Belts
Correlation
Electrocardiography
Estimation
Frequency measurement
Principal component analysis
Shape
Online Access:Request full text
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Summary:A new algorithm to derive a surrogate respiration signal from a single-channel electrocardiogram (ECG) was developed. The generalized mean shape of QRS-complexes was estimated and then used as a template to measure scale variation interpreted as the respiration. Compared to four other ECG-derived respiration (EDR) algorithms, median normalized cross-correlations and median magnitude squared coherences between the new EDR and actual spirometer or chest belt respiration signals showed consistent top-of-the-line performance across different breathing rates and postures. The relative performance of the new EDR algorithm was especially favourable in controlled breathing at the 0.33 Hz respiratory rate.
ISSN:0276-6574
2325-8853