Literature DB >> 34041581

[Detection of ECG alterations typical for myocardial ischemia : New methods 2021].

Sascha Beck1, Valeria Martínez Pereyra1, Andreas Seitz1, Raffi Bekeredjian1, Udo Sechtem1, Peter Ong2.   

Abstract

BACKGROUND: The electrocardiogram (ECG) represents an essential diagnostic tool in cardiology and beyond. Classical ECG devices enable the registration of up to 12 leads, whereas modern ECG systems enable additional leads even with a reduced number of electrodes. Additionally, "smart" devices even enable patients to record an ECG at home.
OBJECTIVE: Evaluation of a potential additional benefit of using various modern ECG systems for the detection of ECG alterations typical for myocardial ischemia.
MATERIAL AND METHODS: Presentation of various signs of ischemia in the ECG according to the latest guidelines. Demonstration of modern ECG systems and their potential advantage in the detection of signs of ischemia in the ECG based on current study results.
RESULTS: Modern ECG systems with vector-based electrocardiography can facilitate and optimize the detection of ischemic ECG alterations. Smart nonvector-based devices for patients are primarily useful for detection of arrhythmias and do not replace the 12-lead ECG for detection of ischemia, even though they can be useful for documentation of temporary ECG alterations also within the ST-segment.
CONCLUSION: The ECG systems based on vector electrocardiography can improve the detection of ECG alterations typical for ischemia compared to the conventional 12-lead ECG.

Entities:  

Keywords:  Acute coronary syndrome; Myocardial infarction; Myocardial ischemia; Smart watch; Vector electrocardiography

Mesh:

Year:  2021        PMID: 34041581     DOI: 10.1007/s00108-021-01037-6

Source DB:  PubMed          Journal:  Internist (Berl)        ISSN: 0020-9554            Impact factor:   0.743


  16 in total

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  1 in total

1.  Reliable Detection of Myocardial Ischemia Using Machine Learning Based on Temporal-Spatial Characteristics of Electrocardiogram and Vectorcardiogram.

Authors:  Xiaoye Zhao; Jucheng Zhang; Yinglan Gong; Lihua Xu; Haipeng Liu; Shujun Wei; Yuan Wu; Ganhua Cha; Haicheng Wei; Jiandong Mao; Ling Xia
Journal:  Front Physiol       Date:  2022-05-30       Impact factor: 4.755

  1 in total

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