MCTC4BMI (Multimodal Compressed Sensing and Tensor Decomposition for Brain-Machine Interfaces) is a MATLAB toolbox designed to process and analyze EEG data. It applies compressed sensing and tensor decomposition techniques to improve brain-machine interface (BMI) performance.

Features

  • Implements compressed sensing techniques to reduce data dimensionality
  • Uses tensor decomposition for analyzing multi-channel EEG data
  • Designed specifically for real-time brain-machine interface applications
  • Supports multimodal data integration for more robust predictions
  • Offers various preprocessing tools for EEG signals
  • Integrates seamlessly with existing BMI frameworks

Project Samples

mctc4bmi Screenshot 1

Project Activity

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Categories

Machine Learning

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Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

MATLAB

Related Categories

MATLAB Machine Learning Software

Registered

2024-10-14
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