Cardioventilatory coupling in heart rate variability: methods for qualitative and quantitative determination

Cardioventilatory coupling in heart rate variability: the value of standard analytical techniques.

In a group of spontaneously breathing anaesthetized subjects, we examined the ability of simple spectral and non-linear methods to detect the presence of cardioventilatory coupling in heart rate time series. Using the proportional Shannon entropy (H(RI-1)) of the RI(-1) interval (interval between inspiration and the preceding ECG R wave) as a measure of coupling, we found no correlation between...

Signal Processing Methods for Heart Rate Variability

Qualitative and Quantitative Approaches for Determination of Hemolyzed Serum

Abstract Background and Objective: Prevention of medical laboratory errors is a major goal of quality control programs. Hemolyzed specimen is one of the common issues causing medical laboratory errors. Apart from the visual assessment, the measurement of serum hemoglobin concentration can be another method to evaluate the intensity of hemolysis. We aimed to assess hemolyzed serum s...

Cardioventilatory coupling in atrial fibrillation.

Cardioventilatory coupling is an entrainment phenomena, distinct from respiratory sinus arrhythmia, whereby heart and breathing rhythms show temporal coherence. Coupling is commonly observed during rest, sleep and anaesthesia. Five graphical methods, each with different underlying mechanistic assumptions, have been suggested for studying this entrainment relationship: (a) time relationship betw...

A Novel Fuzzy Based Method for Heart Rate Variability Prediction

Abstract In this paper, a novel technique based on fuzzy method is presented for chaotic nonlinear time series prediction. Fuzzy approach with the gradient learning algorithm and methods constitutes the main components of this method. This learning process in this method is similar to conventional gradient descent learning process, except that the input patterns and parameters are stored in mem...