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Cited by in F6Publishing
For: Vuoti AO, Tulppo MP, Ukkola OH, Junttila MJ, Huikuri HV, Kiviniemi AM, Perkiömäki JS. Prognostic value of heart rate variability in patients with coronary artery disease in the current treatment era. PLoS One 2021;16:e0254107. [PMID: 34214132 DOI: 10.1371/journal.pone.0254107] [Cited by in F6Publishing: 4] [Reference Citation Analysis]
Number Citing Articles
1 Lin S, Yang X, Guo X, Ye J, Hu X, Dong H, Zhou Y, Ye X. Impact of Short-Term Heart Rate Variability in Patients with STEMI Treated by Delayed versus Immediate Stent in Primary Percutaneous Coronary Intervention: A Prospective Cohort Study. Computational and Mathematical Methods in Medicine 2022;2022:1-10. [DOI: 10.1155/2022/2533664] [Reference Citation Analysis]
2 Stracina T, Ronzhina M, Redina R, Novakova M. Golden Standard or Obsolete Method? Review of ECG Applications in Clinical and Experimental Context. Front Physiol 2022;13:867033. [PMID: 35547589 DOI: 10.3389/fphys.2022.867033] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
3 Alamgir A, Mousa O, Shah Z. Artificial Intelligence in Predicting Cardiac Arrest: Scoping Review. JMIR Med Inform 2021;9:e30798. [PMID: 34927595 DOI: 10.2196/30798] [Reference Citation Analysis]
4 Brinza C, Floria M, Covic A, Burlacu A. Measuring Heart Rate Variability in Patients Admitted with ST-Elevation Myocardial Infarction for the Prediction of Subsequent Cardiovascular Events: A Systematic Review. Medicina (Kaunas) 2021;57:1021. [PMID: 34684058 DOI: 10.3390/medicina57101021] [Cited by in F6Publishing: 1] [Reference Citation Analysis]