NeuroTech ASU

Repository for NeuroTech ASU club projects focused on EEG signal processing and brain-computer interfaces.

Signal Quality Algorithm

A real-time signal quality monitoring system for the Unicorn Hybrid Black EEG headset. This project provides live feedback on electrode contact quality to ensure optimal data collection during EEG experiments.

Features

• Real-time monitoring of 8 EEG channels
• Visual feedback with head diagram
• Signal quality assessment based on voltage peaks, standard deviation, and offset
• Integration with LSL streams
• EEG filtering capabilities

Getting Started

See [Signal Quality Algorithm/README.md](Signal Quality Algorithm/README.md) for detailed setup and usage instructions.

Contributing

Contributions from ASU NeuroTech club members are welcome. Please follow standard git practices and ensure code is well-documented.