arXiv Machine Learning August 6, 2026 By Wanting Mao, Maxwell A Xu, Harish Haresamudram, Mithun Saha, Santosh Kumar, James Matthew Rehg

Prototype-based Self-Supervised Multimodal Learning for PPG and Accelerometry Signals

Read the original on arXiv Machine Learning →

arXiv:2510. 09764v2 Announce Type: replace Abstract: Modeling multi-modal time-series data is critical for capturing system-level dynamics, particularly in biosignals where modalities such as ECG, PPG, EDA, and accelerometry provide complementary perspectives on interconnected physiological processes.

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

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