Blood pressure-related electrocardiographic findings in healthy young individuals-Reference-Cited by-同舟云学术

Blood pressure-related electrocardiographic findings in healthy young individuals

Published:2019-11-12 Issue:2 Volume:29 Page:113-122
ISSN:0803-7051
Container-title:Blood Pressure
language:en
Short-container-title:Blood Pressure

Author:

Hassing Gerardus J.¹,van der Wall Hein E. C.¹²,van Westen Gerard J. P.²,Kemme Michiel J. B.³,Adiyaman Ahmet⁴,Elvan Arif⁴,Burggraaf Jacobus¹²⁵,Gal Pim¹

Affiliation:

1. Centre for Human Drug Research, Leiden, The Netherlands;

2. Leiden Academic Centre for Drug Research, Leiden, The Netherlands;

3. Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Cardiovascular Sciences, Amsterdam, The Netherlands;

4. Department of Cardiology, Isala Hospital, Zwolle, The Netherlands;

5. Leiden University Medical Center, Leiden, The Netherlands

Publisher

Informa UK Limited

Subject

Cardiology and Cardiovascular Medicine,General Medicine,Internal Medicine

Link

https://www.tandfonline.com/doi/pdf/10.1080/08037051.2019.1673149

Reference38 articles.

1. The Hypertensive Myocardium

2. Identifying Early Changes in Myocardial Microstructure in Hypertensive Heart Disease

3. Atrial electrocardiography in obesity and hypertension: Clinical insights from the Polish-Norwegian Study (PONS)

4. P‐Wave dispersion increases in prehypertension

5. Assessment of atrial conduction time in patients with essential hypertension

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