Maternal and Fetal Electrocardiograms Separation Algorithm
ConditionPregnancy Related
Trial statusRecruiting
Trial phaseNot applicable
Trial typeInterventional
Biological sexFemale
Age18-55
SponsorI.M. Sechenov First Moscow State Medical University
About this trial
Effective monitoring of fetal heart activity during the second and third trimesters remains a vital challenge in perinatal medicine. This study proposes an adaptive algorithm for extracting the fetal electrocardiograms signal from abdominal ECG in pregnant women, considering the physiological characteristics of each trimester. Utilizing modern machine learning methods, independent component analysis, and data from wearable textile electrodes. The goal is to enhance the accuracy and reliability of automatic signal separation. A dataset of 300 recordings will be collected and analyzed. The resulting algorithm will enable rapid and precise detection of fetal heartbeats. To validate the algorithm, 50 patients will be recruited separately.
Eligibility criteria
Qualifiers
Age over 18 years
Recordings obtained during the second or third trimester of pregnancy
Recording duration of at least 5 minutes
Singleton pregnancy
Disqualifiers
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.);
Trial design
Treatments tested in this trial
- Maternal and fetal electrocardiograms separation
Treatment groups
350 Participants
are divided into 1 treatment groupSponsors and collaborators
Source ClinicalTrials.gov