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NeurocorNeuropolygraph AEEG System

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The system is equipped with a self-contained wearable unit for long-term registration of bioelectrical activity of the brain. The system is intended for long-term cycles of neurophysiologic studies of electric activity of the brain with 24-hour monitoring capabilities.

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The traditional method of routine EEG registration often doesn’t allow for determination and differentiation of neurological disorders due to the limited duration of the procedure, which as a rule doesn’t exceed 20 minutes of registration. Thus, more than 85% of neurological disorders remain “behind the scenes”. The Neuropolygraph system’s 24-hour monitor solves this challenge. The self-contained wearable unit with internal memory data writing capabilities makes it possible to continuously register a patient’s electroencephalogram and biosignals for up to 48 hours. The ergonomic construction of the amplifier is secured to the patient with an ordinary belt to which an electrode EEG system and polygraph sensors are connected. The unit’s small size and light weight allow the patient to move freely during waking hours and sleep comfortably at night. During this time, all of the patient’s parameters are continuously recorded on a memory card for further detailed study and analysis.

The self-contained unit is ergonomic, compact, and equipped with a built-in multifunctional lighted LCD display with an event button with the ability to transfer data via Bluetooth interface. The hi-end biosignal amplifier provides high-fi recording of EEG signals.

The built-in electrode impedance control system provides on-the-fly detection of a bad contact and elimination of the problem.

The ability to connect exterior provoking photo-audio stimulators and the uniqueness of the function allows one to use the self-contained unit in a wide range of tasks, including video monitoring and routine EEG.

This advanced software, which works on Windows and Linux OS, is supplied with the system. The basic software package makes it possible to perform the following: adaptive filtering of signals, editing and re-editing of recording, amplitude, spectral, bi-spectral, coherent and wavelet analysis, showing results in the form of charts, trend lines, tables, histograms and mapping, forming computer-assisted conclusion on the study results, storing study results in the patient database, exporting to standard file formats of analysis and EEG review.

Number of EEG channels: 22-32
EEG recording scheme: monopolar, vertex, bipolar
Memory card: Up to 64 GB
Sampling frequency: Up to 8,000 Hz
EEG channel noises: max. 0.3 mkV RMS
Number of bipolar channels: 2-8
Connection of additional sensors: ECG,EMG, EOG, breathing, snoring, tremor
PC connection: USB, Bluetooth, Wi-Fi
Power supply: USB, built-in batteries
Autonomous recording mode: Up to 48h