Changes of Virtual Planar QRS and T Vectors Derived from Holter in the Populations with and without Diabetes Mellitus-Reference-Cited by-同舟云学术

Changes of Virtual Planar QRS and T Vectors Derived from Holter in the Populations with and without Diabetes Mellitus

Published:2015-05-04 Issue:1 Volume:21 Page:69-81
ISSN:1082-720X
Container-title:Annals of Noninvasive Electrocardiology
language:en
Short-container-title:Ann Noninvasive Electrocardiol

Author:

Chen Jia¹,Lin Yubi²³,Yu Jian²,Chen Wanqun⁴,Xu Zhe⁵,Yang Zhenzhen²,Zeng Chuqian²,Li Wenfeng²,Lai Xiaoshu²,Lu Qiji²,Zhou Jingwen²,Tian Bixia²,Xu Jing²,Lin Yanping⁶,Du Zuoyi⁷,Zhang Aidong²

Affiliation:

1. First Affiliated Hospital of Jinan University Second Department of Cardiology Guangdong No. 2 Provincial People's Hospital Guangzhou China

2. Department of Cardiology First Affiliated Hospital of Jinan University Guangzhou China

3. Guangdong Cardiovascular Institute, Guangdong Academy of Medical Sciences Guangdong General hospital Guangzhou 510080 P.R., China

4. Medical College of Jinan University Guangzhou China

5. Division of Cardiac Surgery First Affiliated Hospital of Sun‐Yat‐sen University Guangzhou China

6. Medical College of Guangdong Province Zhanjiang China

7. Second Department of Cardiology Guangdong No. 2 Provincial People's Hospital Guangzhou China

Publisher

Wiley

Subject

Physiology (medical),Cardiology and Cardiovascular Medicine,General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/anec.12276

Reference76 articles.

1. Relationship between plasma asymmetric dimethylarginine level and autonomic dysfunction in diabetic patients

2. Heart Rate Turbulence Can Predict Cardiac Mortality Following Myocardial Infarction in Patients With Diabetes Mellitus

3. Heart Rate Variability and Heart Rate Turbulence in Patients With Type 2 Diabetes Mellitus With Versus Without Cardiac Autonomic Neuropathy

4. Decreased heart rate variability may predict the progression of carotid atherosclerosis in type 2 diabetes

5. Heart rate variability and circadian variations in type 1 diabetes mellitus

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