Simple Symbolic Dynamic of Heart Rate Variability Identify Patient with Congestive Heart Failure

Symbolic dynamics allows representing the heart rate variability signal into a common symbol that has been determined to ease the calculation process. The application of existing symbolic analysis can eliminate the information contained in those signals. This paper proposes a method of symbolic analysis by taking into account the size of symbolic signal changes. Symbols are divided into two groups: that for the increasing signal and decreasing one. To store the signal amplitude information, three groups of divisions are proposed i.e., amplitude less than one times standard deviation, that is more than or equal to one times standard deviation to less than two times standard deviation and more than two times standard deviation. The probability of each symbol in a series of data is calculated. Besides, Shannon entropy of all the data on each sample was also calculated. The result suggests that the probability of each symbol has a significant difference between the normal subject and patients with congestive heart failure.