A comparative study on machine learning approach towards epileptiform eeg signals detection
Electroencephalogram (EEG) signal is extensively used for the diagnosis of various kinds of neurological brain disorders. The classification of normal and abnormal electrical brain spikes through visual inspection is highly subjective and varying across medical experts. Hence, in this project, comp...
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| Format: | Final Year Project Report / IMRAD |
| Language: | en en |
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Universiti Malaysia Sarawak, (UNIMAS)
2017
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| Online Access: | http://ir.unimas.my/id/eprint/20936/1/A%20comparative%20study%20on%20machine%20learning%20approach...%2824%20pgs%29.pdf http://ir.unimas.my/id/eprint/20936/8/PEARLY%20OH%20BEl%20QING.pdf http://ir.unimas.my/id/eprint/20936/ |
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