Modeling Cardiovascular Condition Evolution in Hypertensive Population Using Graph Signal Processing

CinC, 2017.

Cited by: 0|Views6


Graph signal processing (SP) is a new discipline that interprets data as a collection of signals defined on top of a graph. The nodes of the graph correspond to variables (features), with the links between nodes describing pair-wise relationships between the different variables. Graph signals are useful in several interesting fields, incl...More



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