Correlate to neuroscience

Peer-reviewed – published from 2020

1. Rakhmatulin, I. (2020). The electronic board replaces the reference voltage on the earlobe for EEG measurement. Measurement (ISSN: 0263-2241), https://doi.org/10.1016/j.measurement.2020.108673

 

2. Rakhmatulin, I., Duchowski, A. (2020). Deep Neural Networks for Low-Cost Eye Tracking. Procedia. Computer Science, 176, 685-694, https://doi.org/10.1016/j.procs.2020.09.041

 

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

 

4. Rakhmatulin, I., Zhanikeev, M., Parfenov, A. RaspberryPI Shield for measure EEG with ADS1299. 2021 5th International Conference on Electrical, Electronics, Communication, Computer Technologies and Optimization Techniques (ICEECCOT). DOI: 10.1109/ICEECCOT52851.2021.9707969

 

Preprints from 2020

5. Rakhmatulin, I. (2020). Python (deep learning and machine learning) for EEG signal processing on the example of recognizing the disease of alcoholism, arXiv:2010.11667

 

6. Rakhmatulin, I. (2020). Dataset for eye-tracking tasks. DOI: 10.20944/preprints202012.0047.v1

 

7. Rakhmatulin, I.; Gan, Y. Review Dry and Non-Contact EEG Electrodes for 2010-2021 Years. Preprints 2021, 2021030555 doi: 10.20944/preprints202103.0555.v1

8. Rakhmatulin, I., Pomazov, E. Do it yourself. Low-cost Stereovision system (disparity map) for few dollars. Practical guide. doi: 10.20944/preprints202104.0282.v1
 

In the process 

Rakhmatulin, I. Deep learning for EEG signal processing in real-time with Jetson Nano