Article

Lightweight Transformer Models for Biomedical Signal Processing: Trends, Challenges, and Future Directions

2025-10-07

Abstract excerpt

<title>Abstract</title> <p>Transformers, initially transformative in natural language processing and later in vision, are now rapidly gaining traction in biomedical signal processing. Electrocardiograms (ECG), electroencephalograms (EEG), and electromyograms (EMG) are critical for diagnosing cardiovascular, neurological, and neuromuscular conditions. Yet, canonical Transformers remain computationally heavy, hinde...

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Literature Corpus work: 37b6851c-ea4e-59c2-96fd-d730417c4723
DOI: 10.21203/rs.3.rs-7620509/v1

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