G. Lenis, F. Conz, and O. Dössel. Combining different ECG derived respiration tracking methods to create an optimal reconstruction of the breathing pattern. In Current Directions in Biomedical Engineering, vol. 1(1) , pp. 54-57, 2015
ECG 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.
Student Theses (1)
F. Conz. Developing robust methods for the electrocardiogram derived respiration and for the detection and quantification of T-wave alternans. Institute of Biomedical Engineering, Karlsruhe Institute of Technology (KIT). Masterarbeit. 2014