DocumentCode :
1807540
Title :
Derivation of respiration from electrocardiogram during heart rate variability studies
Author :
Zhao, L. ; Reisman, S. ; Findley, T.
Author_Institution :
Kessler Inst. for Rehabilitation, West Orange, NJ, USA
fYear :
1994
fDate :
25-28 Sep 1994
Firstpage :
53
Lastpage :
56
Abstract :
A method was developed to derive the respiration signal from the ECG signal based on the observation that the body-surface ECG is influenced by electrode motion relative to the heart and that fluctuations in the mean cardiac electrical axis accompany respiration. ECG signals were taken from 9 healthy subjects during rest, paced breathing and exercise. The respiration was derived from the recorded ECG signals. The ECG-derived respiration was compared with the original respiration recorded through an impedance pneumography device. The derived respiration shows an excellent correspondence with the original respiration. Statistical analysis indicates that the ECG-derived respiration has a high correlation with the original respiration in the frequency domain
Keywords :
electrocardiography; medical signal processing; statistical analysis; body-surface ECG; electrode motion; frequency domain; healthy subjects; heart rate variability studies; impedance pneumography; mean cardiac electrical axis fluctuations; paced breathing; respiration derivation; statistical analysis; Electrocardiography; Electrodes; Fluctuations; Frequency; Heart rate; Heart rate variability; Impedance; Spectral analysis; Statistical analysis; Temperature control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computers in Cardiology 1994
Conference_Location :
Bethesda, MD
Print_ISBN :
0-8186-6570-X
Type :
conf
DOI :
10.1109/CIC.1994.470251
Filename :
470251
Link To Document :
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