Early and reliable detection of fetal asphyxia remains an unsolved challenge in fetal health monitoring with major ramifications for prevention of brain injury, unnecessary cesarian section and major malpractice law suits. Using the fetal sheep model, a well-established model of human pregnancy and fetal development, my team has shown that fetal heart rate (FHR) variability (HRV) can be used as a non-invasive tool to detect fetal asphyxia near-term better than currently-available FHR monitoring. In preclinical and clinical studies, we showed why current FHR monitors are limited in the ability to detect fetal acidemia.
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c. Xuan Li et al. Sampling frequency of fetal heart rate impacts the ability to predict pH and BE at birth: a retrospective multi-cohort study. Fast Track Communication. Physiol Meas. 2015 May;36(5):L1-12. doi: 10.1088/0967-3334/36/5/L1.
d. Nathan Gold, Martin G Frasch Christophe Herry, Bryan S Richardson, Andrew JE Seely and Xiaogang Wang. A Doubly Stochastic Change Point Detection Algorithm for Noisy Biological Signals. 2018. Frontiers in Physiology. https://doi.org/10.3389/fphys.2017.01112 bioRxiv 106088; doi: https://doi.org/10.1101/106088