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BioMamba: Leveraging Spectro-Temporal Embedding in Bidirectional Mamba for Enhanced Biosignal Classification
- BioMamba is a new method for enhanced classification of biological signals, such as EEGs and ECGs.
- It uses a Spectro-Temporal Embedding strategy applied to the Bidirectional Mamba framework with Sparse Feed Forward layers.
- BioMamba improves learning efficiency, reduces computational overhead, and outperforms existing methods.
- It is reliable, efficient, and adaptable across various domains and applications.
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