Heart Diseases
Conditions
Keywords
fetal heart sounds, big data, cloud computing, congenital heart disease, data base, Acoustic structure design
Brief summary
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.
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?
Interventions
DEVICEautomatic screening machine on congenital heart disease
Sponsors
Shanghai Jiao Tong University School of Medicine
Xinhua Hospital, Shanghai Jiao Tong University School of Medicine
Study design
Observational model
COHORT
Time perspective
CROSS_SECTIONAL
Eligibility
Sex/Gender
ALL
Age
No minimum to 10 Years
Healthy volunteers
Yes
Inclusion criteria
* Neonatal ward patients * Patients with echocardiography reports
Exclusion criteria
* Severe pneumonia
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Positive Predictive Value | 2days | The ratio of truly congenital heart disease cases divide by the total positive cases detected by the screening test. |
Countries
China
Contacts
Primary ContactZhao Pengjun, MD
Outcome results
None listed