3 papers
cs.LG2025
Wav2Arrest 2.0: Long-Horizon Cardiac Arrest Prediction with Time-to-Event Modeling, Identity-Invariance, and Pseudo-Lab Alignment
Saurabh Kataria, Davood Fattahi, Minxiao Wang +5
High-frequency physiological waveform modality offers deep, real-time insights into patient status. Recently, physiological foundation models based on Photoplethysmography (PPG), s…
eess.SP2025
Fusion of ECG Foundation Model Embeddings to Improve Early Detection of Acute Coronary Syndromes
Zeyuan Meng, Lovely Yeswanth Panchumarthi, Saurabh Kataria +4
Acute Coronary Syndrome (ACS) is a life-threatening cardiovascular condition where early and accurate diagnosis is critical for effective treatment and improved patient outcomes. T…
cs.LG2025
Continuous Cardiac Arrest Prediction in ICU using PPG Foundation Model
Saurabh Kataria, Ran Xiao, Timothy Ruchti +5
Non-invasive patient monitoring for tracking and predicting adverse acute health events is an emerging area of research. We pursue in-hospital cardiac arrest (IHCA) prediction usin…