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Op-Amp tester

OP-AMP Tester

MicroBCI (EEG with STM32)

$325.00
Availability: Out of stock
SKU
PIA24024P
Weight
2333g
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MicroBCI – measure EEG with STM32 via NUCLEO-WB55

MicroBCI (Measure EEG with STM32) – Brain-computer interface (EEG, EMG, and ECG bio-signals) is STM32 shield that measures 8 biosignals such as those used in electroencephalography (EEG), electromyography (EMG), and electrocardiography (ECG). PiEEG is versatile, easy to work with, and compatible with different types of electrodes. Best of all, it was designed to be usable by anyone. To begin measuring bio-signals, all you need to do is connect the electrodes and run a Python script. Applications include research,  gaming, entertainment, sports, health, meditation, and more.

STM32 (NUCLEO-WB55) is not included 

Features & Specifications

  • Compatible with Raspberry STM32 (NUCLEO-WB55)
  • 8 channels for connecting wet or dry electrodes
  • Data transfer via SPI protocol with a frequency from 250 SPS to 16 kSPS and a resolution of 24 bits per channel
  • Programmable signal gain: 1, 2, 4, 6, 8, 12, 24
  • Easy programming with the provided open-source software for reading and processing data in Python

Why MicroBCI

MicroBCI is a shield that brings Brain-Computer Interface (BCI) capabilities to STM32 NUCLEO development boards. With MicroBCI, you can easily measure EEG signals and explore neuroscience applications directly within the familiar STMicroelectronics ecosystem.

 

By combining the power of STM32 microcontrollers with the open-source MicroBCI shield, you can perform real-time EEG signal acquisition and processing without the need for external computing resources. This makes MicroBCI an ideal tool for learning, prototyping, and applied research in brain-computer interfaces.

 

MicroBCI lowers the barrier for students, researchers, and developers to experiment with:

  • Brain-controlled devices & robotics
  • Stress, focus, and meditation tracking
  • Gaming & entertainment applications
  • Neuroscience education and research

We provide comprehensive SDKs (for Python, Mobile, and STM32 Framework), full technical documentation, and active community support—making MicroBCI a practical and accessible entry point into the world of biosignals and BCI development.

Sources and documentation available on GitHub 

Also, in PiEEG Doc 

Full support via PiEEG Discord 

or pieeg@pieeg.com  

MicroBCI is not a medical device. Please read LIABILITIES.

YouTube https://youtu.be/crqOmnJ3Hjg 

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