DigitHeart Echo Study (DigitHeart-SHD)
Cardiac Anatomical and Mechanical Properties Prediction From Electrocardiography (ECG) With Multi-Modal Representation Learning
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Study Type
Study Type
Enrollment (Estimated)
Enrollment
Contacts and Locations
Study Contact
Study Contact
- Name: Chun Ka Dr Wong, Clinical Assistant Professor
- Phone Number: +852-22553111
- Email: wongeck@hku.hk
Study Locations
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Hong Kong, Hong Kong
- Recruiting
- Department of Medicine Queen Marry Hospital, Hong Kong
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Contact:
- Chun Ka Dr Wong, Clinical Assistant Professor
- Phone Number: +852-22553111
- Email: wongeck@hku.hk
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Principal Investigator:
- Chun Ka Dr Wong, Clinical Assistant Professor
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Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- aged ≥ 18 years old
- planned to have echocardiography performed
- voluntarily agree to participate in the trial.
Exclusion Criteria:
- had echocardiography performed within 1 month
- pacemaker rhythm on ECG
- dextrocardia
- complex adult congenital heart disease
- ventricular assist device implantation.
Study Plan
How is the study designed?
Design Details
Number of groups / cohorts
Cohorts and Interventions
Group / CohortGroup / Cohort |
Intervention / TreatmentIntervention / Treatment |
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Smartphone-Captured ECG Cohort
12-lead ECG will be performed if it has not been performed within 6 month.
Photo of the 12-lead ECG will be taken by research staff using DigitHeart-2 smartphone application.
Prediction from DigitHeart-2/MERL-ECHO and other machine learning model(s) hosted by the investigator team for each of the target anatomical and mechanical properties will be recorded.
Cardiologist in-charge of the patient, who is blinded to the prediction results from DigitHeart-2/MERL-ECHO, will perform echocardiography according to American Society of Echocardiography guidelines, which serve as gold standard for accuracy evaluation.
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Participants will undergo an echocardiography to determine their cardiac structure, heart function and valve function.
The gold-standard measurement from the echocardiography text report will be the reference for validating the multi-modal prediction.
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What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Model's Accuracy in predicting key echocardiographic parameters
Time Frame: Day 1
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The primary outcome is the accuracy of the integrated DigitHeart- 2/MERL-ECHO system in predicting key echocardiographic parameters from smartphone-captured ECG images, as measured by AUROC and F1 scores.
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Day 1
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Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Model's Accuracy in predicting other key anatomical and mechanical properties
Time Frame: Day 1
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Secondary outcomes include accuracy of predicting other anatomical and mechanical properties including:
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Day 1
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Collaborators and Investigators
Sponsor
Sponsor
Publications and helpful links
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Estimated)
Primary Completion
Study Completion (Estimated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- DigitHeart-SHD
- HKWC/HKU IRB (Other Identifier: HKU/HA HKW Institutional Review Board)
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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