Author

Saurabh Kataria

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#artificial intelligence Preprint Sep 2026

TRACE: Expert-Aligned ECG Representation Learning with Rigorous Benchmarking and Real-World Validation in Acute Cardiac Care

TRACE (Text-Reinforced Analysis of Cardio ECGs) is a multimodal electrocardiogram (ECG) representation model that learns clinically grounded signal embeddings for downstream cardiac classification. It is designed to address the limitations of existing CLIP-style training, which often struggles with noisy clinical text...

L. Y. Panchumarthi, Andrew Lu, Saurabh Kataria et al. · 0 citations

Book Open access Aug 2026

Bridging ECG and PPG: Latent-Space Prediction for Robust Physiological Analysis

Foundation models for physiological signals have shown promise for health monitoring, with recent work exploring multi-modal approaches that leverage complementary information across modalities such as PPG and ECG. However, existing methods typically rely on contrastive objectives or reconstruction losses that operate...

Zhaoliang Chen, Saurabh Kataria, Minxiao Wang et al. · Proceedings of the 32nd ACM... · 0 citations