Abstract:
:Quantitative analysis and detection of electroencephalogram (EEG) recordings during evoked activities is essential for clinical diagnosis on neurological disorders. However, the process of interpreting EEG is time consuming for electroencephalographers (EEGers). In this study, an automatic EEG interpretation system constructed in the way of qualified EEGer's visual inspection was proposed. The system was applied to interpret hyperventilation-induced EEG automatically. The final results of automatic interpretation were compared with EEGer's visual inspection, and showed high consistence.
journal_name
Med Biol Eng Computjournal_title
Medical & biological engineering & computingauthors
Zhang X,Wang X,Sugi T,Ikeda A,Nagamine T,Shibasaki H,Nakamura Mdoi
10.1007/s11517-010-0688-9subject
Has Abstractpub_date
2011-02-01 00:00:00pages
171-80issue
2eissn
0140-0118issn
1741-0444journal_volume
49pub_type
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