A machine learning algorithm for electrocardiographic fQRS quantification validated on multi-center data

MLA

Villa, A.(Amalia), et al. A Machine Learning Algorithm for Electrocardiographic FQRS Quantification Validated on Multi-Center Data. 2022. EBSCOhost, widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsoai&AN=edsoai.on1350340115&authtype=sso&custid=ns315887.

APA

Villa, A. (Amalia), Vandenberk, B. (Bert), Kenttä, T. (Tuomas), Ingelaere, S. (Sebastian), Huikuri, H. V. (Heikki V. ., Zabel, M. (Markus), Friede, T. (Tim), Sticherling, C. (Christian), Tuinenburg, A. (Anton), Malik, M. (Marek), Van Huffel, S. (Sabine), Willems, R. (Rik), & Varon, C. (Carolina). (2022). A machine learning algorithm for electrocardiographic fQRS quantification validated on multi-center data.

Chicago

Villa, A. (Amalia), B. (Bert) Vandenberk, T. (Tuomas) Kenttä, S. (Sebastian) Ingelaere, H. V. (Heikki V.) Huikuri, M. (Markus) Zabel, T. (Tim) Friede, et al. 2022. “A Machine Learning Algorithm for Electrocardiographic FQRS Quantification Validated on Multi-Center Data.” http://widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsoai&AN=edsoai.on1350340115&authtype=sso&custid=ns315887.