الوصف

Specially designed equipment and a training course will allow children from the age of 1 2 to conduct research in the field of human neurophysiology and psychophysiology, use neurotechnologies to control robot models based on their own readings of the brain's bioelectrical activity (EEG), will give an opportunity not only to form an idea of ​​the structure of the brain, its activity, neurochat, but also allow you to assemble near installations for studying signals from the human brain, as well as to take readings of an encephalogram.

The EEG NeuroHeadset is designed for the convenient pickup of an electroencephalogram signal from the surface of the head and transferring it to a computer or a device that replaces it. EEG registration is carried out with "dry" electrodes.

The neuro-headset is designed in such a way as to minimize the time of preparatory operations, to ensure the possibility of adjusting to various anthropometric parameters of the child, according to the international scheme 1 0 - 2 0.

The wireless channel provides real-time data transmission from theNeuroHeadsetto a PC.

TheNeuroHeadsetKit includes the following items:

1. Amplifying unit of a neuro-headset.
2. Dry electrodes - 8 pcs. for EEG registration
3. Reference EEG electrodes - 2 pcs.
4. Grounding electrode - 1 pc.
5. Rechargeable battery for 5 V with micro USB.
6. Head and shoulder attachment system.
7. Micro-USB for connecting the amplifier unit to a computer.

1.1. Requirements for the amplifier unit of the NeuroHeadset.

The amplifying unit of theNeuroHeadsetis designed to record the bioelectrical activity of the brain through the connected EEG electrodes and to further process and transmit the surface EEG or signals obtained on its basis to a PC or a device that replaces it.

The amplifying unit of theNeuroHeadset meets the following technical characteristics:

1. Type of contact "skin-electrode" dry (without gel)
2. The measurement range of the resistance of the contact "skin-electrode" (impedance meter) is not less than 0. 0 2 MΩ to not more than 2. 0 MΩ
3. The number of EEG derivations (number of electrodes for EEG registration) - 8 pcs.
4. The number of references - EEG - 2 pcs.
5. The number of leads for grounding electrodes - 1 pc.
6. The attenuation coefficient of the common-mode signal is not less than 9 0 dB
7. The recorded range of the amplitude of the EEG signal in the max band is not less than ± 1 . 0 ... 3 0 0 . 0 μVp-p
8. Intrinsic amplitude noise of the amplification channel, reduced to the in the min band, not more than ± 0.3 μVp-p
9. The time of continuous work in the EEG recording mode is not less than 9 0 minutes.
10. Indication of contact of the electrode with the skin - 8 indicators.
11. Indication of power connection - 1 indicator.
12. Indication of connection to PC - 1 indicator.
13. The weight of the headset without a power supply and EEG electrodes is not more than 6 0 0 g
14. Method of charging the power supply of theNeuroHeadset - wired
15. Interface for interaction with external devices is wired.
16. The amplifier unit is housed in a plastic case.

1.2 Requirements for the EEG recording electrode

1. The EEG electrode provides registration of surface EEG without the use of an electrically conductive gel.
2. There are two options for the EEG electrode:
   • for registration of a surface EEG from a part of the head with a hairline;
   • for registration of EEG from a part of the head without scalp;

The EEG electrode must provide at least 1 0 0 reuse cycles.

Battery requirements

1. Input voltage no more than 5 V.
2. The output voltage is no more than 5 V.
3. The capacity of the battery is not less than 6 , 0 0 0 mAh.
4. Dimensions no more than 1 3 x 7 x 1 cm.
5. Availability of charge-discharge indication.

Requirements for the head and shoulder bracing system

1. Mount for fixing 8 dry electrodes on the head, with a digital designation of the positions of the installation of the electrodes.
2. Mount for fixing the battery 1 pc. on the shoulder.
3. Adjustment to the user's head circumference from 5 1 cm to 6 0 cm
4. Presence of a fixing unit for an amplifier of aNeuroHeadset- 1 pc.
5. The positions of the fixation of the electrodes are as close as possible to the international arrangement of the electrodes "1 0 - 2 0" Fp1, F3, F4, P3, Pz, P4, O1, Oz, O2, A1, A2.
6. Fastener-coupler for fixing the wires of the EEG electrodes.

2. Software when working with a computer

Cross-platform, has the ability to work both in-network mode (connection to the server) and offline.

The software meets the following requirements:

1. The presence of a CRM system (allows you to build an individual trajectory of learning for each student, monitor knowledge (test system), makes it possible to plan classes by a teacher and draw up a schedule)
2. The presence of a block of statistics and remote computing (storage and processing of information on the server, the ability to collect information on training and the ability to create a research base for laboratory work and workshops).
3. The presence of an educational and methodological complex, theoretical material
   • Introduction to neurotechnology.
   • The structure and function of the human brain.
   • Neuron. Structure.
   • Electrical activity of the brain.
   • Types of leads for EEG recording. Applying electrodes.
   • Wakefulness, a state of rest. Opening tests - closing the eyes.
   • Evoked potentials. Types, the concept of a pattern.
   • Interface - "brain-computer"
   • Game theory
   • Group of professions focused on the use of neurotechnology, on the example of the specialty "neurotechnologist", etc.
4. Availability of automatic system updates
5. Availability of user interface of different access levels
6. Availability of storage and archiving of user data.
7. Availability of automatic detection of devices connected to the PC
8. Availability of the ability to transfer readings from devices to microcontrollers
9. Availability of various filtering and data processing tools
10. Availability of quality check of electrode connection on user devices.
11. Availability of a module for automatic assessment of the values ​​of alpha and beta rhythms of the human brain.