Computer programs for the automatic analysis of the electroencephalogram (EEG) from humans and animals have entered wide use and are successfully employed in many areas of physiological research. They are of particular value for sleep studies, as traditional expert analysis of polysomnograms (PSG) is very laborious. The aim of the present work was to investigate the relationship between the accuracy of automatic staging and the EEG spectral parameters characterizing activity specific for the waking and sleep states. This relationship can be used as an objective measure of the quality of PSG traces, i.e., the extent of signs providing for the identification and differentiation of waking and the various sleep phases. We found a statistically significant relationship (including linear) between the accuracy of automatic staging and various spectral EEG characteristics in mice. This approach to automated PSG analysis provides objective criteria for trace quality with a priori assessment of the accuracy of automatic staging.
from Physiology via xlomafota13 on Inoreader http://ift.tt/2ghpHxs
via IFTTT
Δεν υπάρχουν σχόλια:
Δημοσίευση σχολίου
Σημείωση: Μόνο ένα μέλος αυτού του ιστολογίου μπορεί να αναρτήσει σχόλιο.