Multiscale Rényi Entropy analysis of RR interval magnitude, sign, and acceleration showed statistically significant differences between Normal, Early CAN, and Definite CAN disease classes.
Observational
Can multiscale Rényi entropy analysis of heartbeat time series discriminate between normal patients and those with early or definite cardiac autonomic neuropathy?
Multiscale Rényi entropy analysis of RR interval dynamics provides a potential non-invasive method to diagnose and stage cardiac autonomic neuropathy.
The time series of interbeat intervals of the heart reveals much information about disease and disease progression. An area of intense research has been associated with cardiac autonomic neuropathy (CAN). In this work we have investigated the value of additional information derived from the magnitude, sign and acceleration of the RR intervals. When quantified using an entropy measure, these time series show statistically significant differences between disease classes of Normal, Early CAN and Definite CAN. In addition, pathophysiological characteristics of heartbeat dynamics provide information not only on the change in the system using the first difference but also the magnitude and direction of the change measured by the second difference (acceleration) with respect to sequence length. These additional measures provide disease categories to be discriminated and could prove useful for non-invasive diagnosis and understanding changes in heart rhythm associated with CAN.
Jelinek et al. (Thu,) conducted a observational in Cardiac autonomic neuropathy (CAN). Multiscale Rényi Entropy analysis of RR intervals vs. Normal disease class was evaluated on Discrimination between disease classes (Normal, Early CAN, Definite CAN). Multiscale Rényi Entropy analysis of RR interval magnitude, sign, and acceleration showed statistically significant differences between Normal, Early CAN, and Definite CAN disease classes.