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Estimation of instantaneous power in the EEG to assess brain connectivity with high temporal resolution
- Source :
- Andreas Keil, Scopus-Elsevier
- Publication Year :
- 2009
- Publisher :
- IEEE, 2009.
-
Abstract
- This paper presents advanced signal processing algorithms to quantify brain connectivity with high temporal resolution using the electroencephalogram (EEG). The experimental paradigm exploits the visual cortex response to flickering images at a given frequency. The envelope of the EEG at the flickering frequency collected by 128 electrodes over the head quantifies the communication amongst the brain areas with high temporal resolution. This work proposes to use the empirical mode decomposition to find the flickering frequency and then use the Hilbert transform to estimate the instantaneous amplitude. A video of the topographical display of the instantaneous power over the array helps us visualize the exquisite communication that occurs during the stimulus presentation.
- Subjects :
- Computer science
Physics::Medical Physics
Electroencephalography
Hilbert–Huang transform
symbols.namesake
Neural Pathways
medicine
Humans
Computer vision
Diagnosis, Computer-Assisted
Brain Mapping
Quantitative Biology::Neurons and Cognition
medicine.diagnostic_test
business.industry
Flicker
Brain
Neurophysiology
Visual cortex
medicine.anatomical_structure
Temporal resolution
symbols
Artificial intelligence
Hilbert transform
Nerve Net
business
Algorithms
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society
- Accession number :
- edsair.doi.dedup.....a9ce97d49bd02c6ecbc448ecbcef6ea8