Symbolic Dynamics Analysis of Pathological Signals

Paper uses symbolic dynamics to study heartbeat time series from the normal subjects, patients with congestive heart failure and cardiac arrest patients. The results show that entropy value of normal people´s heart beat signals is the maximum. Information entropy value of congestive heart failure patient is decreasing. Cardiac arrest patients´ information entropy is the smallest. It is corresponding that patients have entered into dangerous stage in clinical. Clinical treatment of patients at this time is a critical period. The results are of great significance on the clinical automatically diagnosis. It can play a role in timely warning especially in the long ambulatory ECG monitoring to save the patient´s life.