Research on fetal phonocardiogram (fPCG) is challenged by the limited number of abdominal recordings, substantial maternal interference, and marked transmissioninduced signal attenuation that complicate reproducible benchmarking. We present a reproducible dynamic parametric simulator that generates long abdominal fPCG sequences by combining cycle-level fetal S1/S2 event synthesis with a convolutional transmission module and configurable interference and background noise. Model parameters are calibrated cyclewise from real abdominal recordings to capture beat-to-beat variability and to define data-driven admissible ranges for controllable synthesis. The generated signals are validated against real recordings in terms of envelope-based temporal structure and frequency-domain characteristics. The simulator is released as open software to support rapid, reproducible evaluation of fPCG processing methods under controlled acquisition conditions.
Cite
@article{arxiv.2601.16792,
title = {A Dynamic Parametric Simulator for Fetal Heart Sounds},
author = {Yingtong Zhou and Yiang Zhou and Zhengxian Qu and Kang Liu and Ting Tan},
journal= {arXiv preprint arXiv:2601.16792},
year = {2026}
}