Name
Abstract | ||
|---|---|---|
Electroencephalography (EEG) and magnetoencephalography (MEG) measurements can be used to monitor neural activity, that is generally characterized using current or magnetic dipole source models with time-varying amplitude, position, and moment parameters. The EEG/MEG measurements, however, often contain artifacts that do not originate from the brain. These artifacts can include patient movement, normal heart electrical activity, muscle and eye movement, or equipment and environmental clutter. In this paper, we propose a novel neural activity estimation approach that integrates particle filtering with the probabilistic data association filter in order to validate neural measurements and suppress artifacts before estimating neural activity. Simulations using synthetic data with this approach demonstrate high performance in suppressing artifacts and tracking neural activity; results for real data are also presented. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/ACSSC.2012.6489311 | Signals, Systems and Computers |
Keywords | DocType | ISSN |
bioelectric potentials,biomechanics,cardiology,electroencephalography,eye,magnetoencephalography,medical signal detection,medical signal processing,muscle,neural nets,neurophysiology,particle filtering (numerical methods),patient monitoring,probability,EEG artifact suppression,MEG artifact suppression,brain,current dipole source models,electroencephalography measurements,environmental clutter,equipment clutter,eye movement,magnetic dipole source models,magnetoencephalography measurements,moment parameters,muscle movement,neural activity estimation,neural activity monitoring,neural activity tracking,neural measurements,normal heart electrical activity,particle filtering integration,patient movement,position parameters,probabilistic data association filter,synthetic data,time-varying amplitude parameters | Conference | 1058-6393 |
ISBN | Citations | PageRank |
978-1-4673-5050-1 | 1 | 0.37 |
References | Authors | |
7 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alexander Maurer | 1 | 1 | 1.05 |
| Lifeng Miao | 2 | 23 | 3.43 |
| Jun Jason Zhang | 3 | 122 | 18.78 |
| Narayan Kovvali | 4 | 25 | 5.57 |
| Antonia Papandreou-Suppappola | 5 | 234 | 29.88 |
| Chaitali Chakrabarti | 6 | 1978 | 184.17 |