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Table 4 Summary of the geometric domain

From: Review and classification of variability analysis techniques with clinical applications

Domain Assumptions

Features

Feature Assumptions

Transformation used

References

The information is held in the specific position of the points represented in a reference space (deterministic system)

Grid counting

Low dimensionality of the attractor

Grid transformation

[45, 64]

 

Heart rate turbulence

Information is in the ectopic beats

 

[65]

 

Poincaré plots features

Low dimensionality of the attractor

Poincaré plots

[4, 9, 54, 61, 66, 67]

 

Recurrence plot features

The attractor can be effectively described by the distances between its points

Recurrence plots

[19, 43, 68–70]

 

Spatial filling index

The attractor is described by its degree of sparseness

Phase space representation

[71, 72]