DocumentCode :
2357899
Title :
Respiratory rate derived from principal component analysis of single lead electrocardiogram
Author :
Bowers, EJ ; Murray, A. ; Langley, P.
Author_Institution :
Freeman Hosp., Newcastle upon Tyne
fYear :
2008
fDate :
14-17 Sept. 2008
Firstpage :
437
Lastpage :
440
Abstract :
We used principal component analysis to derive the respiratory rate from single lead ECGs. In this algorithm the respiratory induced beat-to-beat variability of the ECG is described by the coefficients of the principal components. Subjects were asked to breathe at different rates and naturally while respiration and ECG were recorded. Breathing rate, determined by Fourier analysis, was compared for the ECG derived respiration obtained by principal component analysis and the recorded respiratory signal. Across the different breathing patterns the mean absolute differences between reference respiratory rate and ECG respiratory rate were 0.2 breaths per minute (bpm) or less. In all cases the respiratory rate was accurately determined from respiratory surrogates derived from principal component analysis of the single lead ECGs.
Keywords :
Fourier analysis; bioelectric phenomena; biomedical measurement; electrocardiography; flow measurement; medical signal processing; pneumodynamics; principal component analysis; ECG PCA derived respiratory rate; Fourier analysis; principal component analysis; principal component coefficients; respiratory induced beat-to-beat ECG variability; single lead electrocardiogram; Detection algorithms; Electrocardiography; Hospitals; Magnetic recording; Magnetic sensors; Monitoring; Principal component analysis; Signal analysis; Signal processing; Sleep;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computers in Cardiology, 2008
Conference_Location :
Bologna
ISSN :
0276-6547
Print_ISBN :
978-1-4244-3706-1
Type :
conf
DOI :
10.1109/CIC.2008.4749072
Filename :
4749072
Link To Document :
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