Joint analysis of EEG and fMRI data : an exciting machine learning challenge
The project “Joint Analysis of EEG and fMRI data” describes the examination of brain activity which is analyzed using fMRI (functional Magnetic Resonance Imaging) and EEG (Electroencephalograph). Both techniques have unique way to represent brain activity. fMRI displays location of contrasts in brai...
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| Format: | Thesis |
| Language: | English |
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2013
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| Online Access: | http://hdl.handle.net/10356/53480 |
| _version_ | 1811689725141975040 |
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| author | Vij Nikhil |
| author2 | Justin Dauwels |
| author_facet | Justin Dauwels Vij Nikhil |
| author_sort | Vij Nikhil |
| collection | NTU |
| description | The project “Joint Analysis of EEG and fMRI data” describes the examination of brain activity which is analyzed using fMRI (functional Magnetic Resonance Imaging) and EEG (Electroencephalograph). Both techniques have unique way to represent brain activity. fMRI displays location of contrasts in brain images, on the other hand, EEG provides very valuable temporal information or time series of activation in form of waveforms. Both techniques if combined can depict information in spatially and temporally together. |
| first_indexed | 2024-10-01T05:52:40Z |
| format | Thesis |
| id | ntu-10356/53480 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T05:52:40Z |
| publishDate | 2013 |
| record_format | dspace |
| spelling | ntu-10356/534802023-07-04T15:33:39Z Joint analysis of EEG and fMRI data : an exciting machine learning challenge Vij Nikhil Justin Dauwels School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering The project “Joint Analysis of EEG and fMRI data” describes the examination of brain activity which is analyzed using fMRI (functional Magnetic Resonance Imaging) and EEG (Electroencephalograph). Both techniques have unique way to represent brain activity. fMRI displays location of contrasts in brain images, on the other hand, EEG provides very valuable temporal information or time series of activation in form of waveforms. Both techniques if combined can depict information in spatially and temporally together. Master of Science (Computer Control and Automation) 2013-06-04T03:59:01Z 2013-06-04T03:59:01Z 2011 2011 Thesis http://hdl.handle.net/10356/53480 en 88 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Electrical and electronic engineering Vij Nikhil Joint analysis of EEG and fMRI data : an exciting machine learning challenge |
| title | Joint analysis of EEG and fMRI data : an exciting machine learning challenge |
| title_full | Joint analysis of EEG and fMRI data : an exciting machine learning challenge |
| title_fullStr | Joint analysis of EEG and fMRI data : an exciting machine learning challenge |
| title_full_unstemmed | Joint analysis of EEG and fMRI data : an exciting machine learning challenge |
| title_short | Joint analysis of EEG and fMRI data : an exciting machine learning challenge |
| title_sort | joint analysis of eeg and fmri data an exciting machine learning challenge |
| topic | DRNTU::Engineering::Electrical and electronic engineering |
| url | http://hdl.handle.net/10356/53480 |
| work_keys_str_mv | AT vijnikhil jointanalysisofeegandfmridataanexcitingmachinelearningchallenge |