Key result
Data-driven modeling analysis demonstrated a higher likelihood of foetal-maternal heart rate synchronization in data segments with assumed interaction compared to those without.
Population
Three datasets of foetal and maternal heart rate data
Comparison
Data-driven model-based analysis vs Synchronization resulting from white noise…
Design
Other
Authors
Loading...
Supports data-driven detection of foetal-maternal synchronization; leaves open clinical relevance and requires prospective validation.
Data-driven model-based analysis can be a useful tool for identifying physiological foetal-maternal heart rate synchronization.
Riedl et al. (2009) studied Foetal-maternal heart rate synchronization. Data-driven modelling analysis vs. White noise was evaluated on Likelihood of synchronization. Data-driven modeling analysis demonstrated a higher likelihood of foetal-maternal heart rate synchronization in data segments with assumed interaction compared to those without.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: