{"doi":"10.1109/jbhi.2017.2649570","title":"An Integrated Maximum Current Density Approach for Noninvasive Detection of Myocardial Infarction","abstract":null,"journal":"IEEE Journal of Biomedical and Health Informatics","year":2018,"id":687813,"datarank":0.4566783656585135,"base_score":3.044522437723423,"endowment":3.044522437723423,"self_citation_contribution":0.4566783656585135,"citation_network_contribution":0.0,"self_endowment_contribution":0.4566783656585135,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":20,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1796865,"name":"Shiqin Jiang","orcid":"0000-0002-9695-4049","position":1,"is_corresponding":false},{"id":1183400,"name":"Yanhua Wu","orcid":"0000-0002-2803-809X","position":2,"is_corresponding":false},{"id":1402051,"name":"Junjie Zhu","orcid":"0000-0003-1230-1890","position":3,"is_corresponding":false},{"id":1796866,"name":"Dafang Zhou","orcid":null,"position":4,"is_corresponding":false},{"id":1796867,"name":"Birgit Hailer","orcid":null,"position":5,"is_corresponding":false},{"id":1796868,"name":"Dietrich Gronemeyer","orcid":null,"position":6,"is_corresponding":false},{"id":1796869,"name":"Peter Van Leeuwen","orcid":null,"position":7,"is_corresponding":false},{"id":1498874,"name":"Chen Zhao","orcid":"0000-0001-9479-3483","position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"An Integrated Maximum Current Density Approach for Noninvasive Detection of Myocardial Infarction","abstract":"We present a new approach of integrated maximum current density (IMCD) for the noninvasive detection of myocardial infarction (MI) using magnetocardiography (MCG) data acquired from a superconducting quantum interference device (SQUID) system. In this paper, we investigated the relationship of the maximum current density (MCD) in the current density map and the underlying equivalent current dipole (ECD) based on a novel method of reconstructing the ECD in the extremum circle of the magnetic field map. The performance of IMCD and the integrated ECD (IECD) approaches were also evaluated by using 61-channel MCG data from 39 healthy subjects and 102 patients with ST elevation myocardial infarction (STEMI). Statistical analysis of the healthy and STEMI groups demonstrate that the IMCD approach obtains sensitivity and specificity up to 91.2% and 84.6%, somewhat higher than that of IECD, respectively. The results indicate that IMCD provides spatiotemporal information regarding cardiac electrical activity during ventricular repolarization. This approach may be helpful to diagnose MI in clinic application. The physical concept of the approach is also explained in this paper.","is_dataset_classified":null,"base_score":3.044522437723423,"endowment":3.044522437723423,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"28092581","pmcid":null,"openalex_id":"https://openalex.org/W2571532262","authors":[],"funders":[{"funder_name":"National Natural Science Foundation of China","grant_id":"60771030","title":null},{"funder_name":"National Natural Science Foundation of China","grant_id":"61601173","title":null},{"funder_name":"National High-Technology Research and Development Program of China","grant_id":"2008AA02Z308","title":null},{"funder_name":"Shanghai Science and Technology Development Foundation","grant_id":"08JC1421800","title":null},{"funder_name":"Open Project of the State Key Laboratory of Function Materials for Information","grant_id":"SKL2013010","title":null},{"funder_name":"Shanghai Medical College of Fudan University","grant_id":"13DZ2272200-2","title":null},{"funder_name":"Key Laboratory of Medical Imaging Computing and Computer Assisted Intervention of Shanghai","grant_id":"","title":null}],"total_grants":7,"fwci":0.4469,"citation_percentile":0.60032668,"influential_citations":0,"citation_trend":[{"year":2018,"count":1},{"year":2019,"count":2},{"year":2022,"count":1},{"year":2023,"count":3},{"year":2024,"count":1},{"year":2025,"count":8},{"year":2026,"count":4}],"oa_status":"closed","license":"https://ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html","oa_locations":[{"url":"http://xplorestaging.ieee.org/ielx7/6221020/8306527/07809118.pdf?arnumber=7809118","host_type":"publisher"},{"url":"https://doi.org/10.1109/jbhi.2017.2649570","host_type":"journal"},{"url":"https://pubmed.ncbi.nlm.nih.gov/28092581","host_type":"repository"}],"fields_of_study":["Atomic and Subatomic Physics Research","Cardiac Arrhythmias and Treatments","Cardiovascular Function and Risk Factors"],"mesh_terms":["Humans","Myocardial Infarction","Signal Processing, Computer-Assisted","Databases, Factual","Magnetocardiography"],"keywords":["Magnetocardiography","Myocardial infarction","Cardiology","Medicine","Electrocardiography","Current (fluid)","Internal medicine","Current density","Squid","Physics"],"sdg_mappings":[{"sdg_number":0,"sdg_label":"Good health and well-being"}],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-08-18T22:50:15.823955Z","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":[]}