Evaluating Long-Range Temporal Structure in Foundation Model-Based Forecasts of Heartbeat Dynamics
Adrian Serapio ⋅ Bharath Ramsundar ⋅ Sandya Subramanian
Abstract
We examine the long-range temporal structure of forecasts produced by Time-Series Foundation Models (TSFMs) on heartbeat dynamics using the MIT-BIH Normal Sinus Rhythm Database (NSRDB). Our findings indicate that these models do not adequately capture long-range dependencies, as reflected in growing errors in RR-interval predictions over longer forecast horizons.
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