Refined matrix completion for spectrum estimation of heart rate variability.

We note that the five deep learning models have an increasing trend of computation cost with the increasing model complexity, which can be seen from Table 4 that among these deep learning models, the GRU model has the least computation time with 1.117 ± 0.460 s.

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