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

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