Advanced features of ECG mapping

D K Avdeeva,M L Ivanov,I A Zimin,M M Yuzhakov,N V Turushev,Guo Wenjia,S V Mazikov,I V Maksimov,R E Kodermyatov

doi:10.1088/1742-6596/1327/1/012027

Abstract

Cardiovascular diseases are the leading cause of death worldwide. A great number of methods have been developed to monitor the state of the heart, each of which has its own advantages and limitations. One of the most promising method is surface mapping. To improve reliability and informativity of this method, researchers of Medical Engineering Laboratory of TPU developed nanosensors with unique metrological characteristics for non-invasive measurement of ECG signals of microvolt and nanovolt levels. The results of previous studies showed that metrological characteristics of the developed nanosensors significantly exceed those of conventional electrodes. Based on this, nanosensors used for surface ECG mapping will enable qualitative improvement of data obtained and diagnostic capabilities of this method.

Highlights

Cardiovascular diseases are the most common cause of death in the world among the population
According to statistics from the World Health Organization, an estimated 17.9 million persons died from cardiovascular diseases in 2016 [1]
Ischaemic Heart Disease (IHD) is prominent among all cases of deaths caused by cardiovascular diseases

Summary

Introduction

Cardiovascular diseases are the most common cause of death in the world among the population. IHD is a disease of cardiac muscle caused by an acute or chronic imbalance between myocardial blood supply and demand. Patients with acute myocardial infarction are most at risk of sudden cardiac death in the first hour after the onset of heart attack [2]. The diagnosis of the state of the cardiovascular system is an important component of systemic measures to reduce mortality. For this purpose, non-invasive methods are most widely used in clinical and polyclinic practice to provide measurement data on the state of the cardiovascular system and to allow for the possibility of repeated measurements

Methods

Results

Conclusion