Automatic interpretation of hyperventilation-induced electroencephalogram constructed in the way of qualified electroencephalographers visual inspection
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 EEGers visual inspection was proposed. The system was applied to interpret hyperventilation-induced EEG automatically. The final results of automatic interpretation were compared with EEGers visual inspection, and showed high consistence.
automatic interpretation electroencephalogram visual inspection hyperventilation slow wave dominant rhythm