{"doi":"10.22489/cinc.2022.403","title":"A Sliding Window Approach to Regularization in Electrocardiographic Imaging","abstract":"Introduction:The inverse problem of ECGI is ill-posed, so regularization must be applied to constrain the solution.Regularization is typically applied to each individual time point (instantaneous) or to the beat as a whole (global).These techniques often lead to over-or underregularization.We aimed to develop an inverse formulation that strikes a balance between these two approaches that would realize the benefits of both by implementing a sliding-window regularization.Methods: We formulated sliding-window regularization using the boundary element method with Tikhonov 0 and 2 nd order regularization.We applied regularization to a varying time window of the body-surface potentials centered around each time sample.We compared reconstructed potentials from the sliding-window, instantaneous, and global regularization techniques to ground truth potentials for 10 heart beats paced from the ventricle in a large-animal model.Results: The sliding-window technique provided smoother transitions of regularization weights than instantaneous regularization while improving spatial correlation over global regularization.Discussion: Although the differences in regularization weights were nuanced, smoother transitions provided by the sliding-window regularization have the ability to eliminate discontinuities in potential seen with instantaneous regularization.","journal":"Computing in cardiology","year":2022,"id":314246,"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":0.9485,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2022-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":557657,"name":"Jake Bergquist","orcid":"0000-0002-4586-6911","position":1,"is_corresponding":false},{"id":558304,"name":"Lindsay Rupp","orcid":null,"position":2,"is_corresponding":false},{"id":680520,"name":"Anna Busatto","orcid":"0000-0002-3577-460X","position":3,"is_corresponding":false},{"id":448982,"name":"Brian Zenger","orcid":"0000-0002-0039-9184","position":4,"is_corresponding":false},{"id":392564,"name":"Wilson Good","orcid":"0000-0002-0111-9076","position":5,"is_corresponding":false},{"id":291217,"name":"Jaume Coll‐Font","orcid":"0000-0001-9341-6838","position":6,"is_corresponding":false},{"id":992084,"name":"Rob MacLeod\"","orcid":null,"position":7,"is_corresponding":false},{"id":1013369,"name":"Ben A. Orkild","orcid":null,"position":0,"is_corresponding":true}],"reference_count":13,"raw_metadata":null,"created_at":"2026-07-19T00:33:52.047924Z","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":[]}