Description

WiFi + Isolated USB Transmission EEG Acquisition Module Support Holter Function

Description:
- There are two communication interfaces: WiFi and isolated USB. Using WiFi wireless communication can provide greater freedom, while using isolated USB port, due to its wired interface, transmission is more stable and not affected by RF interference.
- WiFi access supports both AP and STA modes. In AP mode, the EEG acquisition module itself emits a hotspot, which is equivalent to a router, and the upper computer can join the network; In STA mode, the EEG acquisition module can be integrated into an existing network.
- The signal isolation voltage for isolating USB ports is 6000V, which is safer and can reduce common mode interference. The signal acquisition quality is better compared to without isolation.
- Using ESP32S3 processor to drive ADS1299 for EEG acquisition, this solution has higher integration. The single-chip ESP32S3 processor serves as the main control and integrates WiFi communication function internally. Compared with the solution of main control + communication module, it has lower power consumption and more sensitive response.
- Built-in 2000mAH high-capacity lithium battery and charging management circuit.
- Under WiFi communication mode, it can support multiple sampling rates such as 250, 500, 1000, 2000, 4000, etc., with a maximum of 4000 sampling rate synchronous sampling supported under 8 channels and a maximum of 2000 sampling rate synchronous sampling supported under 16 channels.
- By issuing commands, the serial port baud rate can be configured to 115200 or 921600, supporting multiple sampling rates such as 250, 500, 1000, 2000, etc. The maximum support for synchronous sampling is 2000 sampling rate in 8-channel and 1000 sampling rate in 16 channel.
- Support configuring the working mode of ADS1299 through communication protocol, which can be configured as differential, SRB1 common reference, SRB2 common reference, BIAS common mode negative feedback output and other working modes.
- Providing self-developed upper computer executable program FreeBCIGUI for Python, which can achieve various functions such as waveform display, real-time FFT spectrum calculation, EEG band calculation, data file storage, LSL network data stream real-time forwarding, historical data playback, etc.
- The real-time EEG data stream collected can be forwarded through LSL and imported into EEGLab for convenient subsequent processing.
- Providing battery level detection function, which can observe the current battery level on the upper computer.
- Providing communication protocol under isolated USB serial port mode for easy secondary development.

Package Included:
- 1 x EEG Acquisition Module

Note:
- This product is only for scientific research or learning purposes and is not a medical product. It cannot be used for official diagnosis or medical purposes.