Multiparametric Investigation of Dynamics in Fetal Heart Rate Signals

• DOI: 10.3390/bioengineering9010008
• Publication Date: 2021-12-28T11:55:03Z
• Authors: Alfonso Maria Pon...; Francesco Amato; Maria Romano
• Keywords: SIGNAL (programming language); Dynamics

In the field of electronic fetal health monitoring, computerized analysis heart rate (FHR) signals has emerged as a valid decision-support tool in assessment wellbeing. Despite availability several approaches to analyze variability FHR (namely FHRV), there are still shadows hindering comprehensive understanding how linear and nonlinear dynamics involved control rhythm. this study, we propose straightforward processing modeling route for deeper relationships between characteristics signal. A multiparametric investigation factors influencing accelerations, chosen major indicator wellbeing, is carried out by means techniques, blockwise dimension reduction, artificial neural networks. The obtained results show that features more influential compared ones HRV healthy fetuses. addition, suggest use predictive tools FHRV should be undertaken carefully limited defined pregnancy periods mean values provide interpretable reliable information clinicians researchers.