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DC Field | Value | Language |
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dc.contributor.author | Rao, K.B.Raghavendra | - |
dc.contributor.author | B, Ramesh | - |
dc.contributor.author | Ramachandran, Hema | - |
dc.date.accessioned | 2021-12-14T06:36:05Z | - |
dc.date.available | 2021-12-14T06:36:05Z | - |
dc.date.issued | 2016-06-28 | - |
dc.identifier.citation | RRI-EEG Internal Technical Report No. : 6 | en_US |
dc.identifier.uri | http://hdl.handle.net/2289/7849 | - |
dc.description | Restricted Access | en_US |
dc.description.abstract | Steady-state visual evoked potential (SSVEP) is an electroencephalogram (EEG) activity elicited by continuous flickering of visual stimulus. These are oscillatory electrical potential that are evoked in the brain when the person is visually focusing his/her attention on a visual stimulus that is flickering at frequency 10 Hz and above. SSVEP has been intensively adopted in braincomputer interfaces to map the human brain activity with computers or external devices. These signals are strong in occipital region (visual cortex) of the brain and are nearly sinusoidal waveform having the same fundamental frequency as the visual stimulus. The detection of this frequency can be achieved by a method of matched filtering, in which the matching/correlation of extracted evoked SSVEP signal frequency from the brain with the corresponding stimulated one. The approach presented in this document, to detect the frequency information of the visual stimulus from the evoked noisy EEG signal is using based on quadrature analog matched filtering technique. The hardware details of the matched filtering and it’s test results are presented in this report. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Raman Research Institute | en_US |
dc.rights | 2016 Raman Research Institute, Bengaluru | en_US |
dc.title | Analog Matched Filtering Technique for SSVEP Detection : Hardware Overview | en_US |
dc.type | Technical Report | en_US |
Appears in Collections: | Technical Reports (EEG) |
Files in This Item:
File | Description | Size | Format | |
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AMF_ BCI_tech_report.pdf | Restricted Access | 1.48 MB | Adobe PDF | View/Open |
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