Low-Cost Shield MicroBCI to Measure EEG with STM32
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arXiv
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866914048242614272 |
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| author | Rakhmatulin, Ildar |
| author_facet | Rakhmatulin, Ildar |
| contents | The article introduces an accessible pathway into neuroscience using the MicroBCI device, which leverages the STM32 Nucleo-55RG development board as the core platform. MicroBCI enables the STM32 board to function as a brain-computer interface, capable of recording EEG, EMG, and ECG signals across 8 channels. Over the past decade, the rapid growth of artificial intelligence has transformed many fields, including neurobiology. The application of machine learning methods has created opportunities for the practical use of EEG signals in diverse technological domains. This growing interest has fueled the popularity of affordable brain-computer interface systems that utilize non-invasive electrodes for EEG acquisition. The MicroBCI device demonstrates reliable noise performance and accuracy for applied research and prototyping. Furthermore, it effectively detects alpha brain waves, confirming its ability to capture key neurological signals. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2509_16229 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Low-Cost Shield MicroBCI to Measure EEG with STM32 Rakhmatulin, Ildar Neurons and Cognition The article introduces an accessible pathway into neuroscience using the MicroBCI device, which leverages the STM32 Nucleo-55RG development board as the core platform. MicroBCI enables the STM32 board to function as a brain-computer interface, capable of recording EEG, EMG, and ECG signals across 8 channels. Over the past decade, the rapid growth of artificial intelligence has transformed many fields, including neurobiology. The application of machine learning methods has created opportunities for the practical use of EEG signals in diverse technological domains. This growing interest has fueled the popularity of affordable brain-computer interface systems that utilize non-invasive electrodes for EEG acquisition. The MicroBCI device demonstrates reliable noise performance and accuracy for applied research and prototyping. Furthermore, it effectively detects alpha brain waves, confirming its ability to capture key neurological signals. |
| title | Low-Cost Shield MicroBCI to Measure EEG with STM32 |
| topic | Neurons and Cognition |
| url | https://arxiv.org/abs/2509.16229 |