A new way of building a database of EEG findings.
Whereas computer-based electroencephalography (EEG) is widely applied, the EEG interpretations are usually not stored in a way that favours exploitation of modern computer technology. This paper reports an EEG description system facilitating categorization of EEG data in a computerized database. The system interactively communicates with the digital EEG system and also with the general patient administrative system. The main new quality of this system is the methods for data input and automatic data retrieval from several systems, rather than the establishment of a database of EEG data itself. The EEGs are visually analysed and categorized. Manually marked EEG events are automatically transferred to the database and such events as well as defined electrode positions within these epochs are directly linked to their corresponding descriptions. The database is updated without demand for filling in the events in the database in a second operation. Thereby, the EEG interpreter builds the database while analysing the EEG. This system provides an improved accessibility of EEG data for clinical, normative, educational and scientific use.
Haukeland University Hospital, Department of Neurology, University of Bergen, Norway. harald.aurlien@haukeland.no
H
H
Aurlien
I O
IO
Gjerde
N E
NE
Gilhus
O G
OG
Hovstad
B
B
Karlsen
H
H
Skeidsvoll
D001921:Brain / Q000502:physiology*; D003627:Data Interpretation, Statistical; D019992:Databases as Topic; D004569:Electroencephalography; D006801:Humans