16-Channel EEG Acquisition Tool Wifi Version (with Shell) with Open-Source Hardware for OpenBCI

16-Channel EEG Acquisition Tool Wifi Version (with Shell) with Open-Source Hardware for OpenBCI

Introduction:
* Three-tiered: with a motherboard for OpenBCI, a 2-in-1 board (Wifi+Daisy), and a power supply board
* Wifi and Daisy in one board to make it clean and reliable
* 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 continuously upgraded
* WiFi + Daisy two-in-one board. The latest version of WiFi firmware has been flashed, and the firmware version can be continuously upgraded, some functions of Daisy are integrated into the WiFi board, and the layout and wiring, power supply and other parts have been optimized and adjusted
* 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 16-channel acquisition board is connected, select WiFi, 16-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: Sweep from channel 9 to channel 16 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 5: Sweep from 16 to 9 channels by hand, and the measured waveform is as follows

In channels 9 to 16, the waveforms swept by the hand are observed, and the time sequence is consistent with the direction in which the hand is swept. Channel 16 observes the waveform first, and channel 9 lasts.

Test result 6: Test result of self-made EEG development signal generator

A 10Hz, 50uV test signal was generated with a self-made EEG development signal generator, and the correct results were observed in the time domain waveform and frequency domain spectrum when channel 1 was connected

Test result 6: with the same signal, test results on channels 2 to 10

Test result 6: with the same signal, test results on channels 11 to 16

Similar results to channel 1 were observed on channels 2 to 16

Test result 7: Test result of input sweep signal


Test result 7: Test result of input pulse signal
* The test result of the pulse signal on channel 1


* The test result of the pulse signal on channel 2


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!