A variation rate measure for the arrhythmia via Poincaré plot

Arrhythmia is a common cardiac disease. Hence the diagnosis and treatment of arrhythmia is important problem for public health in our country. For the auxiliary diagnosis of devices, the features of arrhythmia are used to recognize the cardiac disease. Therefore, how to extract the effective features of arrhythmia is the key problem. In this paper, a variation rate measure (VRM) for arrhythmia is presented. Via the quantitative index VRM, the change degree of RR intervals for arrhythmia can be described effectively. Experiment results demonstrate that the arrhythmia can be recognized and classified effectively. Hence, VRM can be as a valid feature of the arrhythmia.