Science and PiEEG

PiEEG

Mosa, M. M. M., & Harris, A. R. A. (2024). Home Automation for Disabled Using Brain Computer Interface and Raspberry Pi. HumEnTech, 3(2). https://doi.org/10.11113/humentech.v3n2.77

Rincon, J.A., Julian, V., Carrascosa, C. (2022). A Physical Cognitive Assistant for Monitoring Hand Gestures Exercises. In: Ferrández Vicente, J.M., Álvarez-Sánchez, J.R., de la Paz López, F., Adeli, H. (eds) Bio-inspired Systems and Applications: from Robotics to Ambient Intelligence. IWINAC 2022. Lecture Notes in Computer Science, vol 13259. Springer, Cham. https://doi.org/10.1007/978-3-031-06527-9_2 

N. Patel, J. Verma and S. Jain. (2023). Emerging Applications of Brain-Computer Interfaces: A Comprehensive Review and Future Perspectives. 2023 IEEE 11th Region 10 Humanitarian Technology Conference (R10-HTC), Rajkot, India, 2023, pp. 312-317, doi: 10.1109/R10-HTC57504.2023.10461739.

Zohny H, Savulescu J. (2024). When Two Become One: Singular Duos and the Neuroethical Frontiers of Brain-to-Brain Interfaces. Cambridge Quarterly of Healthcare Ethics. Published online 2024:1-13. doi:10.1017/S0963180124000197\

Sarango Salto, W. R. (2022). Desarrollo de una interfaz cerebro-computador para el control de posición de un robot móvil basado en la interpretación de ondas cerebrales. Master’s thesis, Universidad Politécnica Salesiana. Repositorio Institucional UPS. http://dspace.ups.edu.ec/handle/123456789/23919

 

IronBCI

Maiseli, B., Abdalla, A.T., Massawe, L.V. et al. (2023).  Brain-computer interface: trend, challenges, and threats. Brain Inf. 10, 20. https://doi.org/10.1186/s40708-023-00199-3

Valeriani, D., Santoro, F., & Ienca, M. (2022). The present and future of neural interfaces. Frontiers in Neurorobotics, 16, Article 953968. https://doi.org/10.3389/fnbot.2022.953968

Castaldo, F. B. (2022). Neuroscience, neurotechnology & sport: An ethical-educational path between utopia and dystopia. Italian Journal of Health Education, Sports and Inclusive Didactics, 6(1). https://doi.org/10.32043/gsd.v6i1.565

 

PiEEG publications 

I. Rakhmatuiln, M. Zhanikeev and A. Parfenov. (2021). Raspberry PI Shield – for measuring EEG (PIEEG). 2021 5th International Conference on Electrical, Electronics, Communication, Computer Technologies and Optimization Techniques (ICEECCOT), Mysuru, India,  410-413, doi: 10.1109/ICEECCOT52851.2021.9707969.

Rakhmatulin, I., Parfenov, A., Traylor, Z. et al. (2021). Low-cost brain-computer interface for everyday use. Exp Brain Res 239, 3573–3583 . https://doi.org/10.1007/s00221-021-06231-4

Rakhmatulin, I. (2022).  Brain-Computer-Interface controlled robot via RaspberryPi and PiEEG, https://doi.org/10.48550/arXiv.2202.01936

Rakhmatulin, I. (2024). PiEEG-16 to Measure 16 EEG Channels with Raspberry Pi for Brain-Computer Interfaces and EEG devices, https://doi.org/10.48550/arXiv.2409.07491

Rakhmatulin, I. (2024). JNEEG shield for Jetson Nano for real-time EEG signal processing with deep learning. https://doi.org/10.48550/arXiv.2405.09575

 

We are in Media 

We have been featured in leading industry publications, including Tom’s Hardware, IEEE Spectrum, VICE, Raspberry Pi, Hackaday, Electronics Weekly, Hackster.io, Arduino, and CNX Software, which can be found via the next link news