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eess.SP2025
RelCon: Relative Contrastive Learning for a Motion Foundation Model for Wearable Data
Maxwell A. Xu, Jaya Narain, Gregory Darnell +7
We present RelCon, a novel self-supervised Relative Contrastive learning approach for training a motion foundation model from wearable accelerometry sensors. First, a learnable dis…
eess.SP2024
Finding "Good Views" of Electrocardiogram Signals for Inferring Abnormalities in Cardiac Condition
Hyewon Jeong, Suyeol Yun, Hammaad Adam
Electrocardiograms (ECGs) are an established technique to screen for abnormal cardiac signals. Recent work has established that it is possible to detect arrhythmia directly from th…