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Not yet recruitingNCT07844434Updated Sep 28, 2026

AI-Based Cardiac Analysis Using 12-Lead and 1-Lead ECG

An observational study in Heart Failure, Atrial Fibrillation (AF) and Electrocardiogram, sponsored by Inha University Hospital. Not yet recruiting at 1 site in South Korea. Open to participants aged 19 Years and older. Per ClinicalTrials.gov, last updated 2026-09-28.

Sponsored by Inha University Hospital · Observational

Study type
Observational
Model
Cohort
Time perspective
Prospective
Enrollment
300
Ages
19 Years and older
Sex
All
01

Study summary

This pilot study is designed to evaluate the clinical performance and utility of the SmartECG-EF software in patients undergoing evaluations at Inha University Hospital. The primary objective is to assess how effectively the device assists clinicians in evaluating cardiac function and related clinical parameters. The study will prospectively enroll eligible participants to gather real-world clinical data, contributing to enhanced diagnostic accuracy and patient management.

Read the detailed description

This is a prospective, single-center pilot study conducted at Inha University Hospital to evaluate the clinical performance and feasibility of the SmartECG-EF software. Eligible participants will undergo standard clinical evaluations alongside the investigational device assessment. The study aims to investigate the diagnostic utility and operational workflow of integrating the software into routine clinical practice. Data regarding clinical parameters, primary and secondary outcome measures, and any device-related adverse events will be systematically collected and analyzed to assess safety and efficacy.

02

Conditions studied

  • Heart Failure
  • Atrial Fibrillation (AF)
  • Electrocardiogram

Keywords

  • Artificial Intelligence
  • Electrocardiogram
  • Heart Failure
  • Left Ventricular Dysfunction
  • Atrial Fibrillation
  • Pilot Study
03

Who can participate

Ages eligible
19 Years and older
Sexes eligible
All
Accepts healthy volunteers
No
Sampling method
Non-probability sample

Study population

Patients visiting Inha University Hospital who undergo standard 12-lead and additional 1-lead ECG evaluations for cardiac assessment.

Inclusion criteria

  • Written informed consent provided voluntarily by the subject
  • Age ≥ 19 years
  • Patients who undergo standard 12-lead ECG measurement during the study period
  • Subjects with sinus rhythm on ECG at the time of examination
  • Subjects available for additional 1-lead ECG measurement during the same visit

Exclusion criteria

Exclusion Criteria:

  • Subjects deemed inappropriate or unlikely to comply with the study requirements by the investigator
  • Patients with atrial fibrillation or atrial flutter on ECG at the time of examination
  • Patients with pacing rhythm due to a pacemaker
  • Subjects with severe tremor, uncooperativity, or skin conditions that make 1-lead ECG measurement difficult
  • Subjects whose additional study measurements would delay standard medical care due to a critical medical condition
  • Withdrawal of consent or refusal to agree to personal information usage
  • ECG with sub-standard quality (unanalyzable noise, lead disconnection, etc.; note: unanalyzable rate evaluation can be recorded separately)
04

Study design

Observational model
Cohort
Time perspective
Prospective
Enrollment
300 participants (estimated)
Patient registry
No

Groups and cohorts

  • SmartECG-EF Evaluation Group

    Patients undergoing prospective evaluation using the SmartECG-EF software for cardiac function assessment and ECG-based parameter analysis at Inha University Hospital.

    Device: SmartECG-EF

Interventions

  • DeviceSmartECG-EF

    The SmartECG-EF software is used to analyze 12-lead and 1-lead electrocardiogram (ECG) data to evaluate cardiac function, including left ventricular systolic dysfunction (LVSD), heart failure indicators, and related arrhythmic parameters.

05

What researchers measure

Primary outcomes

  1. Correlation and Agreement between 12-Lead and 1-Lead AI Scores

    To evaluate the correlation (using Pearson or Spearman correlation coefficients), agreement (ICC using absolute agreement, two-way random model), and Bland-Altman analysis (mean difference and 95% limits of agreement) between 12-lead and 1-lead based AI scores.

    Time frame: Day 1

Secondary outcomes

  1. Area Under the ROC Curve (AUC-ROC) of AI scores

    To assess the AUC-ROC of 1-lead and 12-lead based AI results against disease-specific reference standards, including heart failure, left ventricular systolic dysfunction (LVSD), and arrhythmic parameters.

    Time frame: Baseline

  2. Sensitivity and Specificity of AI scores

    To assess sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of 1-lead and 12-lead based AI results against disease-specific reference standards, including heart failure, left ventricular systolic dysfunction (LVSD), and arrhythmic parameters.

    Time frame: baseline

06

Study locations

1 site
  • Inha University Hospital
    Incheon, Incheon 22332, South Korea
07

References and documents

Individual participant data

Plan to share: Undecided — A specific plan for sharing individual participant data has not yet been finalized as this is a pilot study. Data sharing will be evaluated upon reasonable request and in accordance with institutional guidelines and IRB approvals.

No publications or documents are linked to this record.

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Registry details

Key details

Study ID
NCT07844434
Lead sponsor
Inha University Hospital
Responsible party
Yong-Soo Baek (Professor, Inha University Hospital) — Principal investigator
First posted
Sep 28, 2026
Start date
Aug 30, 2026 (estimated)
Primary completion
Aug 30, 2027 (estimated)
Completion
Mar 30, 2028 (estimated)
Last update
Sep 28, 2026

Study contacts

Yongsoo Baek, M.D., Ph.D.
Contact
existsoo@inha.ac.kr
+82-32-890-2200

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

This study is not yet recruiting, as verified in Sep 2026. You cannot join it, but the record below documents what was studied.

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