Published April 2008 | Version v1
Journal article Metadata-only

A Rao–Blackwellized particle filter for magnetoencephalography

Creators

  • 1. Dipartimento di Matematica, Università di Genova, via Dodecaneso 35, 16146 Genova (Italy)
  • 2. CNR-INFM LAMIA, via Dodecaneso 33, 16146 Genova (Italy)
  • 3. Dipartimento di Informatica, Università di Verona, Cà Vignal 2, Strada le Grazie 15, 37134 Verona (Italy)

Description

A Rao–Blackwellized particle filter for the tracking of neural sources from biomagnetic data is described. A comparison with a sampling importance resampling particle filter performed in the case of both simulated and real data shows that the use of Rao–Blackwellization is highly recommended since it produces more accurate reconstructions within a lower computational effort

Availability note (English)

Available from http://dx.doi.org/10.1088/0266-5611/24/2/025023

Additional details

Identifiers

DOI
10.1088/0266-5611/24/2/025023;
PII
S0266-5611(08)55343-3;

Publishing Information

Journal Title
Inverse Problems
Journal Volume
24
Journal Issue
2
Journal Page Range
[15 p.]
ISSN
0266-5611
CODEN
INVPET

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
44091623
Subject category
S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS; S62: RADIOLOGY AND NUCLEAR MEDICINE;
Descriptors DEI
BIOELECTRICITY; DIAGNOSTIC TECHNIQUES; FILTERS; NERVE CELLS; PARTICLES; SAMPLING; SIMULATION
Descriptors DEC
ANIMAL CELLS; ELECTRICITY; SOMATIC CELLS