Time-Frequency Analysis & High-Frequency Oscillations

"Three-in-One" Pathological High-Frequency Oscillation Detection

Based on clinical standards, EEG-X combines time-frequency analysis and EEG signal processing to automatically identify pathological high-frequency oscillations associated with spikes. Traditional high-frequency oscillation detection requires doctors to manually select spike regions and visually determine signal baselines. EEG-X integrates high-precision spike detection algorithms with intelligent time-frequency analysis/baseline selection algorithms to accurately identify all pathological high-frequency oscillations in target time periods, supporting one-click export of time-frequency plots for selected periods, greatly enhancing clinical detection convenience and enabling early warning of high-frequency signals.

Time-Frequency Analysis & High-Frequency Oscillations
Automatic Baseline Adjustment - More Accurate Time-Frequency Analysis

Automatically selects and adjusts thresholds based on low-frequency voltage signals and original time-frequency analysis energy to make high-frequency energy more prominent. The adjusted time-frequency analysis plot clearly distinguishes independent light points generated by ripple high-frequency bands (80-250Hz), combined with spike localization for accurate interpretation of pathological high-frequency oscillations.

Automatic Baseline Adjustment - More Accurate Time-Frequency Analysis
Sliding Threshold Selection - Automatic Localization of Pathological High-Frequency Oscillations

Calculates thresholds based on ripple band voltage data within a small range, combines with algorithms to filter and count pathological high-frequency oscillations overlapping with spike periods. The sliding threshold method can dynamically adjust screening critical values based on data characteristics, thus approaching clinical judgment standards and providing more robust and reliable results.

Multi-Plot Automatic Export - Efficient Clinical Diagnosis Support

Current mainstream EEG analysis software can only analyze EEG within a small range, requiring doctors to perform complex manual operations and visual judgment, resulting in low precision and high time consumption. EEG-X supports automatic annotation of pathological high-frequency oscillations over long periods based on precise spike detection, with one-click export of time-frequency analysis plots and ripple band peak plots to assist doctors in secondary verification, greatly improving diagnostic efficiency.