Evaluation of the ECG Derived Respiration in the Presence of Irregular Heart Beats

Author(s):  
John F. Morales ◽  
Rik Willems ◽  
Sabine Van Huffel ◽  
Carolina Varon
2015 ◽  
Vol 1 (1) ◽  
pp. 54-57 ◽  
Author(s):  
Gustavo Lenis ◽  
Felix Conz ◽  
Olaf Dössel

AbstractECG derived respiration (EDR) is a technique applied to estimate the respiration signal using only the electrocardiogram (ECG). Different approaches have been proposed in the past on how respiration could be gained from the ECG. However, in many applications only one of them is used while the others are not considered at all. In this paper, we propose a new algorithm for the optimal linear combination of different EDR methods in order to create a more accurate estimation. Using two well known databases, it was statistically shown that an optimally chosen fixed set of coefficients for the linear combination delivers a better estimation than each of the methods used solely.


1996 ◽  
Vol 270 (4) ◽  
pp. H1381-H1383 ◽  
Author(s):  
R. De Meersman ◽  
S. Reisman ◽  
M. Daum ◽  
R. Zorowitz

This investigation examined the effects of psychosocial influences upon vagal cardiac activity. In this crossover, counter-balanced study, 15 subjects were assessed for vagal cardiac activity before and during a presentation in the presence and/or absence of an audience. Electrocardiograms (ECG) were collected throughout the epochs of interest, using a portable holter monitor system. Power spectral density analyses were used to decompose autonomic rhythmicities of heart rate variability. Significantly diminished vagal power was noted before and during presentation episodes with an audience compared with vagal power during a presentation without an audience (P < 0.05). Because respiration modulates autonomic outflow, ECG-derived respiration was derived and compared for all epochs, and no significant differences were noted. The real-life findings in the current investigation are strongly suggestive of the modulating effects of psychosocial interactions upon vagal cardiac electrophysiology and should be considered when assessing autonomic status.


2015 ◽  
Vol 37 (5) ◽  
pp. 512-517 ◽  
Author(s):  
Suvi Tiinanen ◽  
Kai Noponen ◽  
Mikko Tulppo ◽  
Antti Kiviniemi ◽  
Tapio Seppänen

2019 ◽  
Vol 5 (5) ◽  
pp. 055002 ◽  
Author(s):  
Motoki Sakai ◽  
Rei Sekine ◽  
Xin Zhu

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