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arXiv Machine Learning By Ahmed Sameh, Ramzi Al-Sharawi, Yogatheesan Varatharajah

The Impact of Temporal Context Length and Encoding Strategies on Self-Supervised ECG Representation Learning

Read the original on arXiv Machine Learning →

arXiv:2608. 12695v1 Announce Type: new Abstract: Self-supervised electrocardiogram (ECG) models are often trained on a few seconds of ECG signal and, increasingly, on discretized token sequences.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Machine Learning.

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