1. Visual analysis of current EEG changes in native signals display during monitoring.
2. Forming aEEG trends for continuous monitoring of EEG amplitude dynamics. Red horizontal lines on aEEG trends show mean value of lower and upper aEEG trend limit.
3. Automatic or manual classification of aEEG patterns with minute display of results on cloured scale. On monitoring completion, final classification results are formed.
4. Linear presentation of aEEG events – "burst", "suppression" and "remains". It supplements the main data presentation - aEEG trends - and helps in interpretation of the typical aEEG patterns.
5. Display of aEEG bursts dynamics in time on the bursts frequency graph. Digital data panel indicates the value of bursts per minute (current value corresponds to selected area of the sliding window with 1 minute duration in the area of compressed data presentation).
6. Forming a graph of aEEG suppression manifestation is lower than minimal threshold of aEEG amplitude (usually set at a level of 3-5 mkV). Displaying time index of suppressions per minute, which corresponds to selected area of sliding window with 1 minute duration on the digital data presentation panel.
7. Forming trends of density spectral array for operative evaluation of spectral content dynamics and EEG power, both summarized and individually for each hemisphere. Trend allows detecting paroxysmal activity and evaluating the efficiency of medical treatment. Digital data panel displays current value of selected spectral parameter – spectral power, spectral index, median frequency, spectral edge frequency, weighted average frequency.
8. Forming trends of spectral power indices by ranges (SPIR), which display ratio dynamics of spectral power of EEG rhythms in the form of colour bands, width of which is changing depending on change of each rhythm index. SPIR trend allows detecting sleep-waking cycles and evaluating the efficiency of medical treatment.Values of spectral indices are displayed in percent, calculated by the current position on circular diagram.
9. 3D presentation of compressed spectra by brain hemispheres for illustration of various pathological manifestations during continuous monitoring.

A fragment of aEEG trend with some areas of a "burst-suppression" pattern. Picture shows time dynamics of automatically recognized aEEG events (burst-suppression, remains).

The example of compressed spectrum studies with periodically arising epileptiform bursts in the form of "spike-wave" complexes.

The example of compressed spectrum studies with monitoring at drugs administration after surgery. Median frequency graph is overlapped additionally.

The example of compressed spectrum studies in a patient in deep coma with deterioration in a patient's state and a flat (isoelectric) EEG. Graph of total power is overlapped additionally.

The example of compressed spectrum against the background of anesthesia. The alpha rhythm prevails in the beginning. A vertical line represents the moment of quick rhythms reformation: the disappearance of the alpha and the emergence of low-frequency rhythms (delta and theta).

The example of compressed spectrum with prevailing alpha rhythm (8-10 Hz). The level of slow-wave activity (delta-theta) is increased by hyperventilation test.

The example of compressed spectrum with prevailing alpha rhythm (5-7 Hz) in a 6-year-old child with neurophysiological immaturity of the brain.

Preterm infant, 7 days. Hypoxic-ischemic encephalopathy and jaundice. "Burst-suppression" pattern with low values of EEG amplitude and recurring bursts typical for neurological disorders in neonatal period, severe asphyxia and metabolic disorders is detected on EEG signals and aEEG trends. The low-frequency slow-wave activity in the delta-1 range prevails on the trends of spectral power indices by ranges (SPIR).

Trends of spectral power indices by ranges (SPIR) display the changes in EEG frequency content. They are displayed in the form of color trends with the width corresponding to the spectral index in percentage terms.

SPIR trend with prevailing theta rhythm (5-7 Hz) in a 6-year-old child with neurophysiological immaturity of the brain.

SPIR trend during monitoring in operating room against the background of anesthesia. With the deepening of anesthesia the delta-theta rate increases (brown, red and yellow areas).

The example of cyclic changes in SPIR trend during sleep monitoring. Sleep stages affect the redistribution of EEG rhythms.

The indented SPIR trend of an infant with prevailing low-frequency components in "burst-suppression" pattern.

Monitoring in ICU. Abnormal increase in slow-wave activity is observed.

SPIR trend during functional test conduction in an adult patient. Significant increase in delta-theta waves is observed at hyperventilation functional test.

Synchronous cerebral function monitoring and neuromonitoring

Synchronous cerebral function monitoring and EEG videomonitoring