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