arXiv Machine Learning June 10, 2026 By Davood Fattahi, Runze Yan, Saurabh Kataria, Zhaoliang Chen, Xiao Hu

A Comprehensive Inference-Time Augmentation Framework in Physiological Signals: Application to PPG-Based AF Detection

Read the original on arXiv Machine Learning →

arXiv:2606. 10410v1 Announce Type: new Abstract: Objective: Accurate classification of physiological signals in real-world deployments is challenged by sensor noise, motion artifacts, and distribution shifts between training and deployment data.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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