Title :
Respiration derived from the electrocardiogram during heart rate variability studies
Author :
Zhao, Lingeng ; Reisman, Stanley ; Findley, Thomas
Author_Institution :
Res. Dept., Kessler Inst. for Rehabilitation, West Orange, NJ, USA
Abstract :
A method was developed to derive the respiration signal from the ECG signal based on the observation that the 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 by impedance pneumography. 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; ECG signal; ECG-derived respiration; electrode motion; exercise; frequency domain; healthy subjects; heart rate variability studies; impedance pneumography; mean cardiac electrical axis; paced breathing; rest; Area measurement; Biomedical engineering; Electrocardiography; Electrodes; Fluctuations; Frequency; Frequency domain analysis; Heart rate; Heart rate variability; Impedance; Spectral analysis; Statistical analysis;
Conference_Titel :
Engineering in Medicine and Biology Society, 1994. Engineering Advances: New Opportunities for Biomedical Engineers. Proceedings of the 16th Annual International Conference of the IEEE
Conference_Location :
Baltimore, MD
Print_ISBN :
0-7803-2050-6
DOI :
10.1109/IEMBS.1994.412074
