Dual-layer electrode structure for biosignal detection and noise cancellation.

System and methods for biosignal detection and active noise cancellation

We developed a novel EEG system with a dual-electrode net structure for noise reduction and precise biosignal capture. Incorporating advanced software for signal processing, this invention enhances EEG accuracy, reduces setup complexity, and broadens EEG applications, including brain-computer interfaces, through real-time noise separation and immersive noise layering techniques.

August 2023 · Seyed Yahya Shirazi
The effect of fiducial mismarking on EEG source estimation.

Nonlinear functional muscle network based on information theory tracks sensorimotor integration post stroke

We show that InfoMuNet, a novel functional biomarker based on a nonlinear network graph of muscle connectivity, can quantify the role of sensory information on motor performance. We demonstrate its potential use in precision rehabilitation interventions.

July 2022 · Rory O'Keeffe, Seyed Yahya Shirazi, Seda Bilaloglu, Shayan Jahed, Ramin Bighamian, Preeti Raghavan, S. Farokh Atashzar
Re-referencing EEG data will delete common mode biological and non-biological signals.

EEG Re-refrencing Methods, Why and How?

In exploring EEG re-referencing techniques, it’s emphasized that re-referencing may unintentionally remove common mode biological signals, crucial for accurate data interpretation. This document from the BRaIN Lab at the University of Central Florida discusses the implications of such data loss and proposes methods to mitigate these effects, ensuring reliable EEG analysis.

March 2020 · Seyed Yahya Shirazi
The five digitizing methods tested in this study.

More Reliable EEG Electrode Digitizing Methods Can Reduce Source Estimation Uncertainty, but Current Methods Already Accurately Identify Brodmann Areas

Download Paper Code and data Abstract Electroencephalography (EEG) and source estimation can be used to identify brain areas activated during a task, which could offer greater insight on cortical dynamics. Source estimation requires knowledge of the locations of the EEG electrodes. This could be provided with a template or obtained by digitizing the EEG electrode locations. Operator skill and inherent uncertainties of a digitizing system likely produce a range of digitization reliabilities, which could affect source estimation and the interpretation of the estimated source locations....

November 2019 · Seyed Yahya Shirazi, Helen Huang
The effect of fiducial mismarking on EEG source estimation.

Influence of Mismarking Fiducial Locations on EEG Source Estimation

Mismarking fiducial locations can systematically change EEG source locations. We inestigated this effect by systematically moving the fiducial locations to simulate such errors.

March 2019 · Seyed Yahya Shirazi, Helen Huang