Poincaré plot

A Poincaré plot, named after Henri Poincaré, is a graphical representation used to visualize the relationship between consecutive data points in time series to detect patterns and irregularities in the time series, revealing information about the stability of dynamical systems, providing insights into periodic orbits, chaotic motions, and bifurcations.

It plays a role in controlling and predicting the system's long-term behavior, making it an indispensable tool for various scientific and engineering disciplines.

[1][2] Poincaré plots can be used to distinguish chaos from randomness by embedding a data set in a higher-dimensional state space.

Given a time series of the form a Poincaré map in its simplest form first plots dots in a scatter plot at the positions

, the Poincaré plot would represent a shape corresponding to the function

An electrocardiogram (ECG) is a tracing of the voltage changes in the chest generated by the heart, whose contraction in a normal person is triggered by an electrical impulse that originates in the sinoatrial node.

The heart rate normally varies slightly: during a deep breath, it speeds up and during a deep exhalation, it slows down.

(The RR interval will shorten when the heart speeds up, and lengthen when it slows.)

An RR tachograph is a graph of the numerical value of the RR-interval versus time.

[3] 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 (specifically, by the autonomic nervous system).

Several research papers[4][5] demonstrate the potential of ECG signal-based Poincaré plots in detecting heart-related diseases or abnormalities.