Blind sensor characteristics estimation in a multi-sensor network applied to fMRI analysis

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We propose an algorithm for blindly estimating the sensor characteristics of a multi-sensor network, whose structure is also unknown. From the observed sensor outputs, the non-linearities are recovered using a well-known Gaussianization procedure. The underlying sources are then reconstructed using spatial decorrelation. Application of this robust algorithm to data sets acquired through functional magnetic resonance imaging (fMRI) lead to detect a distinctive 'bump' of the BOLD effect at larger activations.

Original languageEnglish
Title of host publicationProceedings of the 2004 Intelligent Sensors, Sensor Networks and Information Processing Conference, ISSNIP '04
EditorsM. Palaniswami, B. Krishnamachari, A. Sowmya, S. Challa, M. Palaniswami, B. Krishnamachari, A. Sowmya, S. Challa
Pages223-228
Number of pages6
StatePublished - 2004
Externally publishedYes
Event2004 Intelligent Sensors, Sensor Networks and Information Processing Conference, ISSNIP '04 - Melbourne, Australia
Duration: 14 Dec 200417 Dec 2004

Publication series

NameProceedings of the 2004 Intelligent Sensors, Sensor Networks and Information Processing Conference, ISSNIP '04

Conference

Conference2004 Intelligent Sensors, Sensor Networks and Information Processing Conference, ISSNIP '04
Country/TerritoryAustralia
CityMelbourne
Period14/12/0417/12/04

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