8-Channel Wifi EEG Acquisition (with Shell) with Open-Source Hardware for OpenBCI Research & Study

8-Channel Wifi EEG Acquisition (with Shell) with Open-Source Hardware for OpenBCI Research & Study

Introduction of 8CH Wifi EEG Device:
* With a motherboard for OpenBCI, a WiFi Shield board power improvement version for OpenBCI, power board compatible with lithium battery for OpenBCI
* Without RFD22301 Bluetooth module. On the motherboard, three-dimensional acceleration sensor and TF card slot have been welded. The firmware version is the latest version and can be upgraded later
* WiFi Shield for OpenBCI has improved the known bug of the original version (the bug will cause noise during the acquisition process). The latest version of the firmware has been flashed, and the firmware can be continuously upgraded
* Power board compatible with lithium battery for OpenBCI: Onboard 2000mAH lithium battery ensures long endurance time. Support USB charging via a type C interface, and charging current is set to 250mAH
* Since the USB type C charging interface is not isolated, do not collect EEG signals during charging
* Support the latest version of the host computer for OpenBCI GUI
* Use Wifi technology instead of Bluetooth module, enabling higher sampling rate

Version With Shell:
* Three status indicators on its front side
* Its bottom with two indicators of charging management - Yellow light is on means that it is charging; and red light is on means it is charged
* With built-in battery and USB type-c charging port reserved
* The front end of the shell has a hole, and the DuPont head extends out for easy insertion of lead electrodes.
* The right opening reserves a position for toggle switch
* The shell is made by 3D printing process. There may be some scratches on the acrylic case, please make sure that you don't mind before purchasing

Package Included:
* 1 x EEG Device with Shell

Test result 1: sampling rate + channel number setting

When the 8-channel acquisition board is connected, select WiFi, 8-channel, and 1K sampling rate

Test result 2: Sweep from channel 1-8 by hand, and the measured waveform is as follows

In channels 1 to 8, the waveforms swept by the hand are observed, and the time sequence is consistent with the direction in which the hand swept. Channel 1 observes the waveform first, channel 8 last

Test result 3: Sweep from channel 8 to channel 1 by hand, and the measured waveform is as follows

In channels 1 to 8, the waveforms swept by the hand are observed, and the time sequence is consistent with the direction in which the hand swept. Channel 8 observes the waveform first, and channel 1 lasts.

Test result 4: Test result of self-made EEG development signal generator
Use a self-made EEG development signal generator to generate a 10Hz, 50uV test signal, which is connected to channel 1, as shown in the following figure:


Test result 4: Test result of self-made EEG development signal generator
The test waveform on channel 1 is shown in the figure below, and the correct results are observed for both the time domain waveform and the frequency domain spectrum


Test result 5: With same signal, test results on channels 2 to 8

Test result 6: The test result of input sweep signal


Test result 7: Test result of input pulse signal


Test result 8: 3D acceleration test
Stand up the collector, you can observe that the acceleration in the Y-axis direction is close to 1g, and the other two axes are close to 0



Test result 8: 3D acceleration test
When the collector is erected in another direction, it can be observed that the acceleration in the x-axis direction is close to 1g, and the other two axes are close to 0

Attention:
- It is for research and learning purposes only.
- Expertise in physiological electrical signal acquisition is highly recommended.
- It can be used for secondary development, which requires users to have professional knowledge of software and hardware.
- It is not a medical device and cannot be used for any official diagnostic or medical purposes. Thank you!