EEGmått

EEGmått is a term that generally refers to a measurement derived from electroencephalography (EEG). EEG itself is a non-invasive neurophysiological technique used to record the electrical activity of the brain. This activity is detected by electrodes placed on the scalp and is typically displayed as wavy lines on a monitor. EEGmått, therefore, encompasses any quantifiable value or parameter extracted from these recorded EEG signals.

There are numerous types of EEGmått, each providing different insights into brain function. Common examples include measures of frequency, such as the power within specific frequency bands like delta (0.5-4 Hz), theta (4-8 Hz), alpha (8-12 Hz), beta (12-30 Hz), and gamma (30-100 Hz). These frequency bands are often associated with different states of consciousness and cognitive processes. Other EEGmått might involve amplitude, which reflects the strength of the electrical signals, or measures of synchrony and coherence between different brain regions.

More complex EEGmått can include event-related potentials (ERPs), which are averaged EEG signals time-locked to a specific stimulus or event, or measures of complexity and entropy, which attempt to quantify the randomness and predictability of brain activity. These various EEGmått are employed in a wide range of applications, including clinical diagnostics for conditions like epilepsy and sleep disorders, as well as in research settings to study cognition, emotion, and brain-computer interfaces. The specific EEGmått chosen for analysis depends heavily on the research question or clinical objective.