Seyed Yahya Shirazi

EMG-BIDS standardizes EMG data organization, enabling FAIR data sharing and supporting machine learning applications.

Secure LSL adds encryption to the LSL protocol to protect biosignal data, enabling secure clinical and commercial use without changing existing applications.

This study simulates scalp EEG from ultrahigh-density ECoG data to show that scalp electrode activity reflects distributed cortical sources, not just local activity near the electrode.

This study examines age-related changes in corticomuscular connectivity during locomotor perturbations, finding older adults use less flexible, more diffuse connectivity patterns compared to young adults.

The paper introduces the Lab Streaming Layer (LSL) framework for synchronizing multimodal data streams across devices and software, ensuring precise timing and reliable data recording.

The paper presents HBN-EEG, a FAIR-formatted EEG dataset from the Healthy Brain Network project, including behavioral annotations and task data for over 2,600 participants.

This paper introduces a non-parametric muscle network as a reliable biomarker for detecting fatigue using surface electromyography, showing significant decreases in network metrics compared to classical methods.

This paper demonstrates that cervical-cranial muscle network features from sEMG can effectively differentiate vocal tasks and detect subtle changes in vocal performance.

This paper introduces InfoMuNet, a functional biomarker quantifying sensory-motor integration improvements post-stroke using muscle connectivity networks.

This study evaluates digitizing methods for EEG electrodes, finding that more reliable methods reduce source estimation uncertainty, but all tested methods accurately identify Brodmann areas.

This study quantifies how fiducial location errors in EEG affect dipole source estimation and recommends accuracy thresholds to minimize uncertainty.