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Multi-layer self-calibrated algorithm for transabdominal fetal pulse oximetry: Simulation and in vivo validation

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DataCite Commons2025-11-10 更新2026-05-03 收录
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https://kilthub.cmu.edu/articles/dataset/Multi-layer_self-calibrated_algorithm_for_transabdominal_fetal_pulse_oximetry_Simulation_and_in_vivo_validation/29905580/1
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资源简介:
Transabdominal fetal pulse oximetry offers a promising approach to non-invasively monitor fetal arterial oxygen saturation (SpO₂), potentially enhancing clinical decision-making and reducing unnecessary interventions during delivery. However, accurate estimation of fetal SpO₂ is complicated by the multi-layer maternal-fetal tissue structure, distinct maternal and fetal physiological signals, and inherently low fetal oxygen saturation levels.This dataset contains Monte Carlo simulated optical data used to validate the multi-layer self-calibrated algorithm for transabdominal fetal pulse oximetry as described in the paper: <i>"Multi-layer self-calibrated algorithm for transabdominal fetal pulse oximetry: Simulation and in vivo validation"</i> (https://doi.org/10.1088/2515-7647/ae1a27).
提供机构:
Carnegie Mellon University
创建时间:
2025-11-10
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