EEG Signal Augmentation via Dynamic Spatial Filtering
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Solution Overview
Problem
Existing methods for augmenting electroencephalogram (EEG) signals have poor effectiveness and robustness, limiting their application in brain-computer interface (BCI) systems due to inadequate noise suppression and feature enhancement.
Innovation Solution
Dynamic spatial filtering is applied to EEG signals by constructing spatial filters based on channel information, augmenting the signals, and integrating them to improve signal quality and reliability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing methods for augmenting EEG signals are used, then the processing can be performed, but the signal-to-noise ratio and recognition accuracy are insufficient
Solution Approach 1:
The patent applies dynamic spatial filtering by constructing spatial filters based on channel information of EEG signals. The spatial filter is dynamically adjusted according to the specific characteristics of the EEG signal, allowing adaptive noise suppression and feature enhancement. This dynamic approach enables the system to optimize the signal-to-noise ratio and recognition accuracy in real-time, resolving the contradiction between measurement precision and reliability in existing static filtering methods.
2Object-affected harmful factors
If existing augmentation methods are applied, then basic signal processing is achieved, but noise suppression and feature enhancement are inadequate
Solution Approach 1:
The patent implements local quality enhancement by constructing spatial filters based on specific channel information. Different channels are weighted and processed according to their individual characteristics and contribution to the EEG signal. This localized approach allows targeted noise suppression in specific channels while preserving and enhancing important features in other channels, thereby improving both noise suppression capability and feature enhancement precision simultaneously.
Data Source
AI summary
A method for performing spatial filtering and augmenting an electroencephalogram (EEG) signal is provided. A processor constructs a spatial filter based on channel information of the EEG signal. The processor augments the EEG signal with the spatial filter. A related electronic device and a related non-transitory computer-readable storage medium are provided.