Classifying EEG signals in response to visual stimulus
US10694968B2 · kind B2 · utility
Assignees
Inventors
Key dates
| Filing date | Apr 13, 2014 |
| Grant date | Jun 30, 2020 |
| Priority date | — |
| Expiry date | Apr 13, 2034 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG16H30/40
- WIPO fieldMedical technology
- WIPO sectorInstruments
Abstract
Systems and method for classifying EEG signals of a human subject generated responsive to a series of images containing target images and non-target images. The EEG signals are in a spatio-temporal representation. The time points are classified independently, using a linear discriminant classifier, to compute spatio-temporal discriminating weights that are used to amplify the spatio-temporal representation, to create a spatially-weighted representation. Principal Component Analysis is used on a temporal domain for dimensionality reduction, separately for each spatial channel of the signals, to create a projection, which is applied to the spatially-weighted representation onto a first plurality of principal components, to create a temporally approximated spatially weighted representation. The temporally approximated spatially weighted representation is classified over the channels, using said linear discriminant classifier, to yield a binary decisions series indicative of each image of the images series as either belonging to said target image or to said non-target image.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.