MicroBCI

KO | EN

gitlite — search

#javascript #python #hacktoberfest #react #ai #typescript #llm #go #golang #android #machine-learning #rust #deep-learning #linux

★ 11 Open GitHub ↗

Shield to Measure EEG with NUCLEO-WB55 STMicroelectronics Development Boards & Kit

// repository documentation

Was this content helpful?

★ 0 (0 ratings)

# MicroBCI. Shield to Measure EEG with  NUCLEO-WB55 STMicroelectronics Development Boards &amp; Kit. EEG with STM32.

# Available on the [Market](https://pieeg.com/microbci/)

# Easy start
Step-by-Step Manual in this Video on [YouTube](https://youtu.be/crqOmnJ3Hjg)    
Step-by-Step [PDF Manual](https://github.com/pieeg-club/MicroBCI/blob/main/Manuals/Micro_BCI_How_To_Start.pdf)    
Docs [Manual](https://pieeg.com/docs/docs/microbci/)

ironbci included to [PiEEG-Server software](https://github.com/pieeg-club/PiEEG-server)  
<img src="https://github.com/pieeg-club/ironbci/blob/master/Supplementary%20files/imahe_2.png" alt="general view" title="general view" width="90%" height="90%">

First, upload the [.hex](https://github.com/pieeg-club/MicroBCI/blob/main/Framework/Micro_BCI.hex)   file and the [Stack](https://github.com/pieeg-club/MicroBCI/blob/main/Framework/stm32wb5x_BLE_Stack_full_fw.bin)    
to the Nucle Board via the Micro USB cable Via [STM32CubeProgrammer](https://www.st.com/en/development-tools/stm32cubeprog.html)

MicroBCI connects to the Nucleo Board. Pay attention to the right connection.    
<div align="center">
  <img src="https://github.com/pieeg-club/MicroBCI/blob/main/Images/connect.png" alt="General View" width="400">
</div>

# Signal Processing 
[SDK](https://github.com/pieeg-club/MicroBCI/tree/main/Mobile_SDK) for Mobile Phone   
[SDK](https://github.com/pieeg-club/MicroBCI/tree/main/SDK) for Python script

# How connect
Connect the MicroBCI shield to the Nucleo Board and after that connect the device to a battery (power supply) and connect the electrodes. Full galvanic isolation from mains is required.  
To measure the EEG need also EEG cap kit for [dry](https://pieeg.com/cap-eeg-kit/) or [wet](https://pieeg.com/cap-eeg-kit-8-channels-with-wet-electrodes/) electrodes or an EMG [kit](https://pieeg.com/kit-to-measure-emg-ecg-ekg/)      
Connection for the EEG is provided below     
<div align="center">
  <img src="https://github.com/pieeg-club/MicroBCI/blob/main/Images/connections.bmp" alt="Connection View" width="600">
</div>

# Dataset Samples and Data Evaluation
### Dataset     
Samples can be found [here](https://github.com/pieeg-club/MicroBCI/tree/main/Dataset)  Dry Eelctrodes, without Gel     
### Artifact test
The process of measuring chewing using dry electrodes (Fz). Chewing occurred in the following sequence: 4 times, 3 times, 2 times, and 1 time, and the same for the blinking process. The y- axis is the processed EEG signal after passing filter bands of 1-40 Hz in microvolts and with 250 samples per second.  Data after band-pass filter 0.5-40 Hz   
<div align="center">
  <img src="https://github.com/pieeg-club/MicroBCI/blob/main/Images/EMG.bmp" alt="emg" width="600">
</div>

and blinking artifacts, the same protocol, electrodes located on the forehead.  Data after band-pass filter 0.5-40 Hz       
<div align="center">
  <img src="https://github.com/pieeg-club/MicroBCI/blob/main/Images/EOG.bmp" alt="emg" width="600">
</div>

### Alpha test  
The process of recording an EEG signal from an electrode (Fz) with eyes open and closed. The y- axis is the processed EEG signal after passing filter bands of 8-12Hz in microvolts and with 250 samples per second. Data after band-pass filter 8-12 Hz  
<div align="center">
  <img src="https://github.com/pieeg-club/MicroBCI/blob/main/Images/Alpha_8_12Hz.bmp" alt="emg" width="600">  
</div>

#### Citation  
Rakhmatulin, I. Low-Cost Shield MicroBCI to Measure EEG with STM32. Preprints 2025, 2025091345. https://www.preprints.org/manuscript/202509.1345/v1

#### Contacts   
http://pieeg.com/  
[LinkedIn](https://www.linkedin.com/company/96475004/admin/feed/posts/)   
[Youtube](https://www.youtube.com/channel/UCVF-3Bp34LINLOQsyWNpcow)
  
#### Support
PiEEG [Discord](https://discord.gg/JVBn9HXyRs)  
pieeg.pieeg@com

MicroBCI

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

MicroBCI

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

Download README