2 citations · 5 across the 17 of their papers we have counts for
6 papers · 1 filter
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,…