ECG Dispersion Mapping in Preclinical Diagnosis of Cardiovascular Diseases

Esina, E. Yu.; Зуйкова, А. А.; Добрынина, Ирина Сергеевна; Lyutov, V.V.; Tsygan, V. N.

doi:10.17691/stm2020.12.5.10

Cited by 3 publications

(1 citation statement)

References 6 publications

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“…Despite the emergence of the latest methods of functional diagnosis, electrocardiography is still not inferior to its position (Ljung et al, 2018;Shekatkar et al, 2017). Due to the uniqueness of the data obtained and the originality of the technique used, it is still the primary method for instrumental diagnosis of myocardial infarction, arrhythmias, pathology of the cardiac conduction system, and other diseases accompanied by circulatory disorders (Hwang et al, 2019;Haqqani and Marchlinski, 2019;Esina et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

The contemporary ways of introduction ECG technology: ML, telemetry and bioauthentification

SHCHEGLOV,

KONOREVA,

KOVAL

et al. 2023

BLL

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It has been exactly 180 years since the pioneering work of Dr. Carlo Matteucci, professor of physics at the University of Pisa (1842), laid the basis of the method for the registration of biopotentials generated by muscles. In particular, these studies have found practical application in the principal non-invasive method of functional diagnosis of the cardiac muscle -electrocardiography (ECG). Almost a century has passed since this method became recognized and widely used in the clinic. However, to date, it has not only retained its importance in practical medicine but also remains a valuable diagnostic tool. This method allows understanding and effectively prevents errors in the present and future repetition. There are observed favorable trends of ECG-based diagnostics systems implementation and improvement in functional assessment of myocardium electrophysiological characteristics, which refl ect cardiovascular pathological vital markers. The essential aim of this article is to demonstrate modern approaches of implementing ECG technology to various fi elds of medicine and health informatics. This research demonstrated a large number of modern innovations devoted to the automation and modifi cation of implementation of this electrophysiological method and the possible ways to implement it in matters of home and individual monitoring of patients. Furthermore, the review examines the socio-economic issues of deploying and administering tele-ECG technologies to follow up on the global principles of digitization of healthcare and onsite diagnostics by emergency medical services (Tab. 2, Fig. 4, Ref. 87).

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Section: Introductionmentioning

confidence: 99%

The contemporary ways of introduction ECG technology: ML, telemetry and bioauthentification

SHCHEGLOV,

KONOREVA,

KOVAL

et al. 2023

BLL

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The Neural Mechanism of Physical Exercise in Prevention and Treatment of Cardiovascular Disease Under Deep Learning

Xie

Xiao

et al. 2023

J. Mech. Med. Biol.

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This work was to explore the application of deep learning (DL) in identifying the neural mechanism of cardiovascular disease (CVD) and the role of physical exercise in the prevention and treatment of CVD. 200 cases of outpatient treatment in the hospital from January to December in 2021 were included as the research objects. 100 people with fitness exercise habits were sorted into the experiment group, and the other 100 cases without fitness exercise habit were in the control group. In addition, a DL-based CVD recognition model was constructed. The results showed that the detection effect of the back propagation (BP) algorithm under DL was better, with an average of over 99%. Heart rate variability (HRV) time domain analysis results showed that the Rrmaen, standard deviation of N-N interval (SDNN), and root mean square of the difference (RMSSD) of the experiment group were [Formula: see text][Formula: see text]ms, [Formula: see text][Formula: see text]ms, and [Formula: see text][Formula: see text]ms, respectively. These were observably higher than those of the control group ([Formula: see text]). In the HRV frequency domain analysis, the total frequency (TF) in the experiment group was [Formula: see text][Formula: see text]MS2, which was notably higher than that in the control group ([Formula: see text][Formula: see text]MS2, [Formula: see text]). The scores of anxiety and depression in the experiment group before exercise intervention were [Formula: see text] and [Formula: see text], respectively, which were highly decreased after intervention ([Formula: see text]). The CVD recognition model based on a DL algorithm could effectively identify CVD. Long-term regular exercise can effectively change the regulatory function of cardiovascular autonomic nerves and depression and anxiety states, which had popularization value.

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Age-related blood pressure and electrocardiographic dispersion mapping changes observed in Magadan adolescents

Loskutova

2022

Cardiovasc Ther Prev

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Aim. To study age-related electrocardiographic (ECG) dispersion mapping (DM) changes in adolescents with normal blood pressure (BP). ECG-DM makes it possible to assess the severity of myocardial electrophysiological abnormalities, which have not reached clinical manifestations with a standard ECG recording.Material and methods. For the period of 2017-2020, the data of 1140 schoolchildren (590 boys and 550 girls) living in Magadan were analyzed. There were following inclusion criteria: age of 12-17 years, informed consent of parents, health status group 1-2, no prior chronic and acute diseases (vaccinations), and hypertension. Systolic (SBP) and diastolic blood pressure (DBP) were recorded 3 times on the A&D Company Ltd BP monitor (2017, Japan). ECG-DM parameters were obtained using the CardioVisor-06s system (2004, Russia, Moscow): Myocardium index (norm <15%), Rhythm index (norm <20%), right, left atrial (G1-G2) and right, left ventricular depolarization (G3-G4), right and left ventricular repolarization (G5-G6), ventricular depolarization symmetry (G7), intraventricular block (G8), ventricular hypertrophy (G9).Results. In the period from 12 to 17 years old, an age-related increase in BP and a decrease in heart rate were determined (p<0,001). Significant rates of BP increase were observed in girls at the age of 12-13 years (p<0,01), while in boys, yearly differences regard only SBP from 12 years (p<0,05), except for 14-15 years. Sex differences were established at the age of 13 for DBP (p=0,026), from the age of 14 according to SBP, with higher values in boys (p<0,05). From 12 to 17 years old, age-related changes were observed only in the Rhythm index (p<0,001), while the predominance of average normal values was established from the age of 14 in boys (p=0,008) and from 15 years old in girls (p=0,022) relative to younger age. There was also an increase in the proportion of persons with normal values in boys from 28,7 to 50,0%, in girls from 29,4 to 61,7% (p<0,05). The Myocardium index at all ages approached the upper normal limit without dependence on age and sex. According to G1-G9 indicators, normal and borderline values prevailed. The greatest similarity was observed in G1-G2 in 45,6-40,8% of boys and 48,3-46,5% of girls, as well as in G9 — 35,1-39,6% (p>0,05), respectively.The proportion of persons in G5-G6 was lower among boys (6,9 and 7,1%) compared with girls (14,2 and 13,1%) (p=0,002, p=0,010), while other indicators had no significant differences as follows: G3 (9,8 and 7,1%), G4 (4,9 and 4,0%), G7 (5,4 and 6,0%), G8 (1,4 and 1,1%) (p>0,05). Among boys according to G9, age differences were observed at 14-15 years old (p=0,026), while among girls — G1 at 16-17 years old (p=0,035).Conclusion. ECG-DM allows monitoring early cardiac dispersion changes in children aged 12-17 years with a normal blood pressure level and identifying among them those adolescents who need further examination.

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ECG Dispersion Mapping in Preclinical Diagnosis of Cardiovascular Diseases

Cited by 3 publications

References 6 publications

The contemporary ways of introduction ECG technology: ML, telemetry and bioauthentification

The contemporary ways of introduction ECG technology: ML, telemetry and bioauthentification

The Neural Mechanism of Physical Exercise in Prevention and Treatment of Cardiovascular Disease Under Deep Learning

Age-related blood pressure and electrocardiographic dispersion mapping changes observed in Magadan adolescents

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