2 citations · 5 across the 17 of their papers we have counts for
18 papers
Low-Cost Shield MicroBCI to Measure EEG with STM32
Ildar Rakhmatulin
The article introduces an accessible pathway into neuroscience using the MicroBCI device, which leverages the STM32 Nucleo-55RG development board as the core platform. MicroBCI ena…
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…
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…
Encoder with the Empirical Mode Decomposition (EMD) to remove muscle artefacts from EEG signal
Ildar Rakhmatulin
This paper introduces a novel method for effectively removing artifacts from EEG signals by combining the Empirical Mode Decomposition (EMD) method with a machine learning architec…
Three Approaches to the Automation of Laser System Alignment and Their Resource Implications: A Case Study
David A. Robb, Donald Risbridger, Ben Mills +6
The alignment of optical systems is a critical step in their manufacture. Alignment normally requires considerable knowledge and expertise of skilled operators. The automation of s…
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…
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…
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…
EEG for fatigue monitoring
Ildar Rakhmatulin
Physiological fatigue, a state of reduced cognitive and physical performance resulting from prolonged mental or physical exertion, poses significant challenges in various domains,…
Device JNEEG to convert Jetson Nano to brain-Computer interfaces. Short report
Ildar Rakhmatulin
Artificial intelligence has made significant advances in recent years and this has had an impact on the field of neuroscience. As a result, different architectures have been implem…
RaspberryPi to measure EEG, ECG, EMG and EOG with Shield PiEEG
Ildar Rakhmatulin
In this paper presented hardware and software for shield PiEEG for reading signals through the families of single-board computers - RaspberryPi, OrangePi, BananaPi, etc. For the mo…
Cycle-GAN for eye-tracking
Ildar Rakhmatulin
This manuscript presents a not typical implementation of the cycle generative adversarial networks (Cycle-GAN) method for eye-tracking tasks.
Brain-Computer-Interface controlled robot via RaspberryPi and PiEEG
Ildar Rakhmatulin, Sebastian Volkl
This paper presents Open-source software and a developed shield board for the Raspberry Pi family of single-board computers that can be used to read EEG signals. We have described…
PIEEG: Turn a Raspberry Pi into a Brain-Computer-Interface to measure biosignals
Ildar Rakhmatulin, Sebastian Volkl
This paper presents an inexpensive, high-precision, but at the same time, easy-to-maintain PIEEG board to convert a RaspberryPI to a Brain-computer interface. This shield allows me…
ironbci. Open source. Brain-computer interface with the embedded board to monitor the physiological subject's condition and environmental parameters
Ildar Rakhmatulin
This manuscript presented brain-computer interface (STM32 and ADS1299) with the embedded board with sensors to monitor the subject's state and environment. To reduce power consumpt…
Deep learning, machine vision in agriculture in 2021
Ildar Rakhmatulin
Over the past decade, unprecedented progress in the development of neural networks influenced dozens of different industries, including weed recognition in the agro-industrial sect…
Python (deep learning and machine learning) for EEG signal processing on the example of recognizing the disease of alcoholism
Ildar Rakhmatulin
Alcoholism is one of the most common diseases in the world. This type of substance abuse leads to mental and physical dependence on ethanol-containing drinks. Alcoholism is accompa…
A review of the low-cost eye-tracking systems for 2010-2020
Ildar Rakhmatulin
The manuscript presented an analysis of the work in the field of eye-tracking over the past ten years in the low-cost filed. We researched in detail the methods, algorithms, and de…