{"url":"/dataset/pulseimpute","name":"PulseImpute","full_name":null,"description_markdown":"**PulseImpute** is a benchmark for Pulsative Physiological Signal Imputation which includes realistic mHealth missingness models, an extensive set of baselines, and clinically-relevant downstream tasks. It contains 440,953 100 Hz 5-minute ECG waveforms from 32,930 patients\r\n\r\nSource: [PulseImpute: A Novel Benchmark Task for Pulsative Physiological Signal Imputation](https://arxiv.org/pdf/2212.07514v1.pdf)\r\n\r\nImage Source: [https://arxiv.org/pdf/2212.07514v1.pdf](https://arxiv.org/pdf/2212.07514v1.pdf)","description_withheld":null,"homepage":"http://www.doi.org/10.5281/zenodo.7129965","introduced_date":"2022-12-14","introduced_date_note":null,"introduced_by":{"paper":"/paper/pulseimpute-a-novel-benchmark-task-for","title":"PulseImpute: A Novel Benchmark Task for Pulsative Physiological Signal Imputation","first_author":"Maxwell A. Xu","url":null},"license":{"name":"Creative Commons Attribution 4.0 International","url":"https://creativecommons.org/licenses/by/4.0/legalcode"},"modalities":[{"name":"Medical","url":"/datasets/modality/medical"}],"tasks":[{"name":"Imputation","url":"/task/imputation","datasets_with_task":"/datasets/task/imputation"}],"languages":[],"variants":["PulseImpute"],"data_loaders":[],"num_papers_in_archive":2,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}