Single-Trial Analysis of Bioelectromagnetic Signals: The Quest for Hidden Information

Maureen Clerc (), Théodore Papadopoulo () and Christian Bénar ()
Additional contact information
Maureen Clerc: Athena project-team, Inria Sophia Antipolis Méditerranée
Théodore Papadopoulo: Athena project-team, Inria Sophia Antipolis Méditerranée
Christian Bénar: Aix-Marseille Université, Faculté de Médecine La Timone, Institut des Neurosciences des Systèmes -INS, UMR 1106 INSERM

Chapter Chapter 7 in Modeling in Computational Biology and Biomedicine, 2013, pp 237-259 from Springer

Abstract: Abstract This chapter deals with the analysis of multitrial electrophysiology datasets coming from neuroelectromagnetic recordings by electro-encephalography and magneto-encephalography (EEG and MEG). For such measurements, multitrial recordings are necessary in order to extract meaningful information. The obtained datasets present several characteristics: no ground-truth data, high level of noise (defined as the part of the data which is uncorrelated across trials), inter-trial variability. This chapter presents tools that deal with such datasets and their properties. The focus is on two families of data processing methods: data-driven methods, in a section on non-linear dimensionality reduction, and model-driven methods, in a section on Matching Pursuit and its extensions. The importance of correctly capturing the inter-trial variability is underlined in the last section which presents four case-studies in clinical and cognitive neuroscience.

Keywords: Local Field Potential; Brain Computer Interface; Match Pursuit; Pursuit Algorithm; Raster Plot (search for similar items in EconPapers)
Date: 2013
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-31208-3_7

Ordering information: This item can be ordered from
http://www.springer.com/9783642312083

DOI: 10.1007/978-3-642-31208-3_7

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().