The Development and Validation of Maternal and Fetal Electrocardiograms (ECG) Separation Algorithm Based on Artificial Intelligence Application
Sponsor: I.M. Sechenov First Moscow State Medical University
Trial Details
| Condition | Pregnancy Related |
| Intervention | Maternal and fetal electrocardiograms separation |
| Phase | NA |
| Status | Recruiting |
| Participants | 350 |
| Est. Completion | 20 Jan 2027 |
| Last Updated | 8 Apr 2026 |
Primary Outcome
Correlation coefficient between automatically extracted fetal heart rates and reference. signals
Eligibility Criteria
Inclusion Criteria
Inclusion Criteria: * Age over 18 years * Recordings obtained during the second or third trimester of pregnancy * Recording duration of at least 5 minutes * Singleton pregnancy * Signed informed consent Exclusion Criteria: * Age under 18 years; * Multiple pregnancy; * Recent medical procedures or interventions that could affect the quality of electrocardiographic data; * Severe maternal conditions (e.g., severe eclampsia, shock, severe organ failure, etc.); * Severe fetal conditions (e.g., significant hypoxia, severe placental-fetal syndrome, and other life-threatening states). Exclusion criteria: 1\. Patient's refusal to continue participation in the study.
Trial Sites
Countries
This content is for educational purposes for healthcare professionals only and does not constitute clinical advice. Clinical decisions should be based on individual patient assessment, current guidelines, and appropriate specialist consultation. Editorial Standards · Privacy Policy · Terms of Service