Nonlinear Digital Signal Processing in Mental Health: Characterization of Major Depression using Instantaneous Entropy Measures of Heartbeat Dynamics

Nonlinear Digital Signal Processing in Mental Health: Characterization of Major Depression using Instantaneous Entropy Measures of Heartbeat Dynamics

Nonlinear digital signal processing methods that address system complexity have provided useful computational tools for helping in the diagnosis and treatment of a wide range of pathologies. More specifically, nonlinear measures have been successful in characterizing patients with mental disorders s...

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Bibliographic Details
Main Authors: Gaetano eValenza, Ronal eGarcia, Luca eCiti, Enzo Pasquale eScilingo, Carlos eTomaz, Riccardo eBarbieri
Format: Article
Language:English
Published: Frontiers Media S.A. 2015-03-01
Series:Frontiers in Physiology
Subjects:
Biomedical Signal Processing
Statistical Signal Processing
point process
heart rate variability (HRV)
Nonlinear signal processing
Laguerre expansion
Online Access:http://journal.frontiersin.org/Journal/10.3389/fphys.2015.00074/full

Internet

http://journal.frontiersin.org/Journal/10.3389/fphys.2015.00074/full

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