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Fragmented QRS on electrocardiography as a predictor for diastolic cardiac dysfunction in type 2 diabetes

  • Published:2022-02-16 Issue:6 Volume:13 Page:1052-1061
  • ISSN:2040-1116
  • Container-title:Journal of Diabetes Investigation
  • language:en
  • Short-container-title:J of Diabetes Invest

Author:

Yagi Kunimasa12ORCID,Imamura Teruhiko3,Tada Hayato2,Liu Jianhui12,Miyamoto Yukiko2,Ohbatake Azusa2,Ito Naoko2,Shikata Masataka1,Enkaku Asako1,Takikawa Akiko1,Honoki Hisae1,Fujisaka Shiho1,Chujo Daisuke12,Origasa Hideki4,Kinugawa Koichiro3,Tobe Kazuyuki1ORCID

Affiliation:

1. 1st Department of Internal Medicine University of Toyama Toyama Japan

2. 2nd Department of Internal Medicine Kanazawa University Graduate School of Medical Science Kanazawa Japan

3. 2nd Department of Internal Medicine University of Toyama Toyama Japan

4. Biostatistics and Clinical Epidemiology Graduate School of Medicine and Pharmaceutical Sciences University of Toyama Toyama Japan

Publisher

Wiley

Subject

General Medicine,Endocrinology, Diabetes and Metabolism,Internal Medicine

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Enhancing ECG Classification through Individual 12-lead Analysis and fQRS pattern based on Deep Learning technique;2023 18th International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP);2023-11-27

2. ECG and Biomarker Profile in Patients with Acute Heart Failure: A Pilot Study;Diagnostics;2022-12-03
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