Automation in clinical data collection in obstetrics - Enabling pooled IPD studies for fetal heart rate and activity monitoring

• DOI: 10.7287/peerj.preprints.2098v1
• Publication Date: 2018-01-13T04:21:43Z
• Authors: Christopher Weber; Maximilian Saalfeld; Christian Harboeck; Silvia M Lobmaier; Joy Weyrich; Holger J Grundmann; Martin Daumer
• Keywords: 03 medical and health sciences; 0302 clinical medicine; 3. Good health

Cardiotocography is currently the standard surveillance tool during labour. For this reason, there are large cardiotography datasets available. Several studies gathering additional information of computerized CTG data aiming to improve surveillance during delivery and birth outcome are currently performed. Manual data collection and analysis takes a lot of human resources, is error-prone and study parameters can hardly be adjusted later on. Therefore, a software based approach was chosen to minimize the effort of preparation. The software called “CTG and patient information matcher” (CAPIM) collects relevant CTG signals for a specified patient dataset and under recognition of several parameters. CAPIM was tested with the patient database of Frauenklinik und Poliklinik of Technische Universität München (Munich, Germany). Further hospitals will follow. The cases received from CAPIM will be used to do feasibility studies for two innovative signal processing techniques as „phase-rectified signal averaging“ method on fe­tal heart rate raw data and „deceleration area“ me­thod to improve prediction of birth outcome.