{"doi":"10.22489/cinc.2023.407","title":"Reconstructing Cardiac Voltage Using Data Assimilation: Effects of Observation Distribution","abstract":"Both experimental and clinical cardiac electrophysiology data often are recorded with limited spatial resolution or inconsistent spatial distribution.Rather than interpolating such data, which neglects constraints imposed by dynamics, data assimilation can be used to mitigate the effects of low-resolution data by providing estimates of voltage in unmapped areas.Here, we investigate the effects of different spatial distributions of observation data on cardiac voltage reconstructions over time using data assimilation.We used an ensemble Kalman filter method to reconstruct complete, uniform voltage data from observational data with different spatial distributions.Stable spiral-wave and sustained spiral-wave breakup cases from the modified Mitchell-Schaeffer model were analyzed.Coarse uniform observations and observations restricted to half the domain were considered.Stable spiral wave dynamics could be reconstructed well, with some lag at the coarsest resolutions and for half-domain observations far from the spiral core.Breakup cases were more difficult to match quantitatively; scenarios with fewer spirals or greater observation coverage of the most intense breakup regions could be reconstructed more accurately.Overall, we found that accurate voltage reconstructions could be generated for stable waves and breakup cases using data assimilation, provided that observations include regions driving breakup.","journal":"Computing in cardiology","year":2023,"id":415493,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":0,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9462,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2023-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":317522,"name":"Flavio H. Fenton","orcid":"0000-0002-4089-8850","position":1,"is_corresponding":false},{"id":428632,"name":"Elizabeth M. Cherry","orcid":"0000-0001-5194-9572","position":2,"is_corresponding":false},{"id":697646,"name":"Shoale Badr","orcid":null,"position":0,"is_corresponding":true}],"reference_count":0,"raw_metadata":null,"created_at":"2026-07-19T01:22:12.933438Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}