TinyMyo: a Tiny Foundation Model for Flexible EMG Signal Processing at the Edge
eess.SP, cs.AI, cs.HC, cs.LG
Submitted: 2025-12-05
Updated: 2026-01-15
DOI: 10.1109/TBME.2026.3736157
Code: https://github.com/pulp-bio/BioFoundation
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- emg2pose: A Large and Diverse Benchmark for Surface Electromyographic Hand Pose Estimation
- PhysioWave: A Multi-Scale Wavelet-Transformer for Physiological Signal Representation
- WaveFormer: A Lightweight Transformer Model for sEMG-based Gesture Recognition
- Towards Generalisable Time Series Understanding Across Domains
- MOMENT: A Family of Open Time-series Foundation Models
- Towards Robust Multimodal Physiological Foundation Models: Handling Arbitrary Missing Modalities
- Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCI
- LUNA: Efficient and Topology-Agnostic Foundation Model for EEG Signal Analysis
- CEReBrO: Compact Encoder for Representations of Brain Oscillations Using Efficient Alternating Attention
- An Improved Model for Voicing Silent Speech
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