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...

Full description

Bibliographic Details
Main Authors: Valenza, Gaetano (Contributor), Garcia, Ronald G. (Author), Citi, Luca (Author), Scilingo, Enzo P. (Author), Tomaz, Carlos A (Author), Barbieri, Riccardo (Author)
Other Authors: Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences (Contributor)
Format: Article
Language:English
Published: Frontiers Research Foundation, 2015-05-26T19:32:02Z.
Subjects:
Article
Online Access:Get fulltext

Internet

Get fulltext

Similar Items