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Timesynth: A Temporal Fidelity Framework for Health Signal Digital Twins

2026-07-01

Abstract excerpt

<title>Abstract</title> <p>Forecasting models for health-signal digital twins must preserve the oscillatory, frequency, phase, and state-transition dynamics of physiological signals, yet the pointwise metrics used to benchmark them cannot detect when these fundamental properties are lost. We show that this blind spot misranks models: across 11 architectures, models with comparable pointwise error diverge by up to...

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Literature Corpus work
d8a3950e-54de-5ebc-bfd5-daab8d5d7e65
DOI
10.21203/rs.3.rs-10144018/v1
Open publication

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Timesynth: A Temporal Fidelity Framework for Health Signal Digital TwinsDOI 10.21203/rs.3.rs-10144018/v1
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