Poincaré plot


A Poincaré plot, named after Henri Poincaré, is a type of recurrence plot used to quantify self-similarity in processes, usually periodic functions. It is also known as a return map. Poincaré plots can be used to distinguish chaos from randomness by embedding a data set into a higher-dimensional state space.
Given a time series of the form
a return map in its simplest form first plots, then plots, then, and so on.

Applications in electrocardiography

An electrocardiogram is a tracing of the voltage changes in the chest generated by the heart, whose contraction in the normal person is triggered by an electrical impulse that originates the sinoatrial node. The ECG normally consists of a series of waves, labeled the P, Q, R, S and T waves. The P wave represents depolarization of the atria, Q-R-S series of waves the depolarization of the ventricles, and T wave the repolarization of the ventricles. The interval between two successive R waves is a measure of the heart rate.
The heart rate normally varies slightly: during a deep breath, it speeds up and during a deep exhalation, it slows down. An RR tachograph is a graph of the numerical value of the RR-interval versus time.
In the context of RR tachography, a Poincaré plot is a graph of RR on the x-axis versus RR on the y-axis, i.e. one takes a sequence of intervals and plots each interval against the following interval.
The recurrence plot is used as a standard visualizing technique to detect the presence of oscillations in non-linear dynamic systems. In the context of electrocardiography, the rate of the healthy heart is normally tightly controlled by the body's regulatory mechanisms. Several research papers demonstrate the potential of ECG signal-based Poincaré plots in detecting heart-related diseases or abnormalities.