Modality vs. Morphology: A Framework for Time Series Classification for Biological Signals

In three linesUnified review on time series classification of biological signals (EEG, EMG, ECG, PPG, ocular). The morphology-modality framework shows that waveform structure (spikes, bursts, oscillations, drift) determines performance more strongly than model class. Inductive biases aligned with physiological dynamics improve interpretability and generalization.

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