Recruiting

Valvular Heart Disease Detection via Machine Learning Analysis of Single-Channel ECG

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Study Aim

This study uses machine learning to analyze single-channel ECGs and identify parameters correlated with valvular heart disease. We aim to determine the sensitivity, specificity, and diagnostic accuracy of this method.

What is being collected

Data Collection

Collected from today forward - Prospective
Who is being recruted

Cardiovascular Diseases+6

+ Deglutition Disorders

+ Digestive System Diseases

Over 18 Years
See all eligibility criteria
How is the trial designed

Cohort

Tracking disease incidence in order to identify risk factors and understand disease progression over time.
Observational
Study Start: January 2025
See protocol details

Summary

Principal SponsorI.M. Sechenov First Moscow State Medical University
Study ContactNatalia Kuznetsova, Dr.More contacts
Last updated: January 28, 2026
Sourced from a government-validated database.Claim as a partner

Study start date: January 1, 2025

Actual date on which the first participant was enrolled.

This study aims to improve the way doctors detect valvular heart disease, a condition affecting the heart's valves, by using a single-channel electrocardiogram (ECG) analyzed with machine learning models. The study involves both a training group of at least 1000 adults and a testing group of 200 adults, all over 18 years old. Valvular heart disease can lead to serious health issues if not diagnosed early, so finding a more efficient and accurate screening method is crucial. By developing a new algorithm, the study hopes to better identify these heart issues using simpler and more accessible technology. Participants in the study will undergo a standard heart ultrasound called echocardiography to thoroughly examine their heart valves. Afterwards, a one-minute ECG will be recorded using a device that doubles as an iPhone cover. This data will then be analyzed using advanced mathematical methods to find patterns associated with heart valve problems. The study will evaluate how well these patterns match up with the results from the echocardiography to determine the accuracy of the new method. The ultimate goal is to create a reliable tool that can help doctors diagnose valvular heart disease with greater precision, potentially leading to earlier and more effective treatment for patients.

Official TitleScreening of Valvular Heart Disease Using Single-channel Electrocardiogram Analyzed With Machine Learning Models
Principal SponsorI.M. Sechenov First Moscow State Medical University
Study ContactNatalia Kuznetsova, Dr.More contacts
Last updated: January 28, 2026
Sourced from a government-validated database.Claim as a partner

Protocol

This section provides details of the study plan, including how the study is designed and what the study is measuring.
Design Details

1200 patients to be enrolled

Total number of participants that the clinical trial aims to recruit.

Cohort

These studies follow a group of individuals with common characteristics (such as a condition or birth year) over a specific period to study health outcomes or exposures.

Eligibility

Researchers look for people who fit a certain description, called eligibility criteria: person's general health condition or prior treatments.
Conditions
Criteria

Any sex

Biological sex of participants that are eligible to enroll.

Over 18 Years

Range of ages for which participants are eligible to join.

Healthy volunteers allowed

If individuals who are healthy and do not have the condition being studied can participate.

Conditions

Pathology

Cardiovascular DiseasesDeglutition DisordersDigestive System DiseasesEsophageal DiseasesGastroesophageal RefluxGastrointestinal DiseasesHeart DiseasesHeart Valve DiseasesEsophageal Motility Disorders

Criteria

Inclusion Criteria: * The presence of written informed consent of the patient to participate in the study * Age from 18 years * Outpatient treatment and / or hospitalization in a research center Exclusion Criteria: * Reluctance of the patient to participate in the study * Poor quality ECG recording on a single-channel ECG monitor * Poor visualization of the heart during echocardiographic study * Acute psychotic reactions that arose during research * An exacerbation of chronic diseases requiring treatment tactics for the patient and preventing his further participation in the study. Non-inclusion criteria: * Poor quality ECG recording on a single-channel ECG monitor * Conditions that can impair ECG recording quality (Parkinson's disease, essential tremor) * Mental illness * Patients with a pacemaker installed * Patients with prosthetic valves

Study Plan

Find out more about all the medication administered in this study, their detailed description and what they involve.
Study Objectives

Study Objectives

Primary Objectives

Secondary Objectives

Study Centers

These are the hospitals, clinics, or research facilities where the trial is being conducted. You can find the location closest to you and its status.

This study has 1 location

Recruiting

I.M. Sechenov First Moscow State Medical University (Sechenov University)

Moscow, RussiaOpen I.M. Sechenov First Moscow State Medical University (Sechenov University) in Google Maps
Recruiting
One Study Center
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