Unusual features in a boy with the rapsyn N88K mutation.
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Adolescent↗
Biomedical subjects
H Aurlien
Publications and source records attributed to H Aurlien.
EEG background activity described by a large computerized database.
OBJECTIVE: To show how our newly developed software for classification and storage of visually routinely assessed EEGs are used to evaluate the general background activity (GBA) and the alpha rhythm (AR) in a large number of prospective EEGs. METHODS: EEGs from 4651 consecutive patients were visually assessed using a computerized description system connected to an EEG database. The AR and the GBA apart from the AR were described separately for frequency and amplitude. RESULTS: AR frequencies declined from the age of 45 years and slowed with increasing age independently of non-AR pathology and gender. Females had higher AR frequencies than males. EEGs with non-GBA pathology had lower GBA frequencies and higher GBA amplitudes. Higher GBA amplitudes were associated with lower GBA frequencies in normal EEGs for all age groups. EEG interpretations by 4 independent electroencephalographers showed the same trends, but differed in exact assessment of frequencies and amplitudes. CONCLUSIONS: EEG interpretations stored in a categorized database with easy access to data have successfully been used to evaluate interobserver variation and other quality control measurements. Statistical analysis of the data has at the same time produced new information regarding the development of AR and GBA throughout life.
Adolescent↗
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.
Brain↗
[The physician's choice of a specialty].
This study included 1,416 graduates from the four medical schools in Norway, during the period 1978-81. The purpose was to determine which factors potentially influence choice of specialty. There were some differences in choice of specialty between physicians from different universities. Choice of specialty also varied with sex, age, and examination performance. Female physicians took no more time than their male colleagues did to become specialists. It is also concluded that the quality of the undergraduate teaching of the different specialties had little or no impact on future choice of career.
Decision Making↗