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eess.SP2025

A Systematic Review of EEG-based Machine Intelligence Algorithms for Depression Diagnosis, and Monitoring

Amir Nassibi, Christos Papavassiliou, Ildar Rakhmatulin +2

Depression disorder is a serious health condition that has affected the lives of millions of people around the world. Diagnosis of depression is a challenging practice that relies…

eess.SP2025

PiEEG kit -- bioscience Lab in home for your Brain and Body

Ildar Rakhmatulin

PiEEG kit is a multifunctional, compact, and mobile device that allows measure EEG, EMG, EOG, and EKG signals. The PiEEG Box incorporates the Raspberry Pi-based PiEEG shield, an EE…

eess.SP2024

PiEEG-16 to Measure 16 EEG Channels with Raspberry Pi for Brain-Computer Interfaces and EEG devices

Ildar Rakhmatulin

This article introduces a cost-effective gateway into the fascinating world of neuroscience: the PIEEG-16, a versatile shield for RaspberryPi designed to measure 16 channels of var…

eess.SP2024

JNEEG shield for Jetson Nano for real-time EEG signal processing with deep learning

Ildar Rakhmatulin

The article presents an accessible route into the field of neuroscience through the JNEEG device. This device allows converting the Jetson Nano board into a brain-computer interfac…

eess.SP2024

Review of algorithms for predicting fatigue using EEG

Ildar Rakhmatulin

Fatigue detection is of paramount importance in enhancing safety, productivity, and well-being across diverse domains, including transportation, healthcare, and industry. This scie…