Measure BioData (EEG, EMG) with Open-Source Shield for STM32 ( (www.preprints.org)

Researchers released MicroBCI, an open-source hardware shield that turns an STM32 Nucleo-55RG development board into an 8-channel brain–computer interface capable of recording EEG, EMG and ECG. The device was validated for reliable noise performance and accuracy in applied-research settings and successfully detected canonical neural activity such as alpha rhythms, demonstrating its ability to capture meaningful neurological signals with non-invasive electrodes. For the AI/ML community, MicroBCI lowers the barrier to entry for neuroscience data collection and rapid prototyping of ML-driven BCI applications by leveraging a widely available microcontroller platform. Its affordability and open-source CC BY 4.0 release (preprint on Preprints.org/MDPI) make it well suited for education, hobbyist projects and early-stage research that require multi-channel biosignal acquisition for model training, real‑time inference, or closed‑loop experiments. While not a clinical-grade system, its documented noise characteristics and demonstrated detection of key brain waves position it as a practical tool for developing and validating algorithms that translate biosignals into control signals or features for downstream AI models.