<ul data-eligibleForWebStory="true"><li>Physiological signals pose challenges due to artifacts and non-stationarity, making traditional analysis methods inadequate.</li><li>A new wavelet-based approach is introduced for multi-scale time-frequency representation of physiological signals.</li><li>Novel pretrained models for EMG and ECG signals demonstrate superior performance and establish new benchmarks for downstream tasks.</li><li>A unified multi-modal framework is created by integrating pretrained EEG model to address challenges like low SNR and device variations.</li><li>The wavelet-based architecture enhances the analysis of diverse physiological signals, offering a foundation for future biomedical applications.</li></ul>

PhysioWave: A Multi-Scale Wavelet-Transformer for Physiological Signal Representation

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