Biosignal Active Noise Cancellation

Dual-layer electrode structure

Innovation

We developed a revolutionary dual-electrode EEG system that dramatically improves signal quality through active noise cancellation. This patented technology (US Patent Application No. 2023/0240581A1) represents a significant advancement in biosignal detection.

Key Features

  • Dual-electrode design: Each sensor contains two electrodes - one for biosignals, one for environmental noise
  • Active noise cancellation: Real-time separation of brain signals from environmental interference
  • Enhanced comfort: Elastic geodesic net structure for comfortable long-term wear
  • Reduced setup time: Simplified electrode placement and preparation

Technical Approach

Hardware Innovation

  • Geodesic net structure with elastic conductive elements
  • Paired electrode configuration at each sensor location
  • Integrated analog-to-digital conversion at each electrode

Signal Processing

  • Advanced noise separation algorithms
  • Reverse Artifact Subspace Reconstruction (rASR)
  • Real-time processing capabilities
  • Multi-modal signal integration

Applications

  • Brain-Computer Interfaces: Enhanced signal quality for BCI applications
  • Clinical EEG: Improved diagnostic capabilities in noisy environments
  • Mobile EEG: Enabling high-quality recordings outside laboratory settings
  • Research: Opening new possibilities for naturalistic neuroscience studies

Impact

This technology addresses fundamental challenges in EEG recording:

  • Reduces environmental electrical interference by >80%
  • Decreases setup time by 50%
  • Enables recordings in previously unsuitable environments
  • Maintains signal quality during subject movement

Patent & Publications

Collaborators

  • UCSD Swartz Center for Computational Neuroscience
  • Institute for Neural Computation
Seyed Yahya Shirazi, Ph.D.
Seyed Yahya Shirazi, Ph.D.
Assistant Project Scientist & Lab Director

Director of the Noninvasive Neuroengineering (NINE) Lab, focusing on EEG source imaging, neuroinformatics, and Mobile Brain Body Imaging.