Development of an Screening System in Children With Congenital Heart Disease Based on Cloud Computing and Big Data

This study intends to establish an automatic system for screening on children with congenital heart disease, the system include the auscultation of cardiac murmur and the test of oxygen saturation, the data was analyzed based on the cloud computing.

Study Overview

Detailed Description

This study intends to establish a system for screening of children with congenital heart disease,with the combination of cardiac auscultation , the test of oxygen saturation, the use of cloud computing and data base. The investigators decide to do this project from three main points.1:How to establish a data-base system? 2:How to get heart sound signal? 3.How to analyze so many signals?

Study Type

Observational

Enrollment (Anticipated)

1000

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • Shanghai
      • Shanghai, Shanghai, China, 200082
        • Recruiting
        • Zhao Pengjun
        • Contact:

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

No older than 10 years (Child)

Accepts Healthy Volunteers

Yes

Genders Eligible for Study

All

Sampling Method

Probability Sample

Study Population

This study include between between newborn to 10 years old.Heart sound signal need to be collected to analyze children's heart health status and creat a special model of each kind of CHD.

Description

Inclusion Criteria:

  • Neonatal ward patients
  • Patients with echocardiography reports

Exclusion Criteria:

  • Severe pneumonia

Study Plan

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

How is the study designed?

Design Details

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Positive Predictive Value
Time Frame: 2days
The ratio of truly congenital heart disease cases divide by the total positive cases detected by the screening test.
2days

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Study Director: Zhao Pengjun, MD, Pediatric cardiovascular department, Shanghai xinhua hospital

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

General Publications

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start

January 1, 2017

Primary Completion (Anticipated)

December 1, 2019

Study Completion (Anticipated)

December 1, 2019

Study Registration Dates

First Submitted

November 22, 2016

First Submitted That Met QC Criteria

April 24, 2019

First Posted (Actual)

April 26, 2019

Study Record Updates

Last Update Posted (Actual)

April 26, 2019

Last Update Submitted That Met QC Criteria

April 24, 2019

Last Verified

December 1, 2018

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

IPD Plan Description

The investigator do not plan to share the data until the project is totally completed

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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