You have attempted to access the full-text of an Early Posting article. Access is available via an institutional subscription.
See the Early Posting FAQ page for additional information.
See the Early Posting FAQ page for additional information.
Quantifying changes in oxygen saturation of the internal jugular vein in vivo using deep neuron networks and subject-specific three-dimensional Monte Carlo models
Optics Letters- received 01/09/2024; accepted 04/13/2024; posted 04/16/2024; Doc. ID 517960
- Abstract: Central venous oxygen saturation (ScvO2) is an important parameter for assessing global oxygen usage and guiding clinical interventions. However, measuring ScvO2 requires invasive catheterization. As an alternative, we aim to non-invasively and continuously measure changes in oxygen saturation of the internal jugular vein (SijvO2) by a multi-channel near-infrared spectroscopy system. The relation between the measured reflectance and changes in SijvO2 is modeled by Monte Carlo simulations and used to build a prediction model using deep neural networks. The prediction model is tested with simulated data to show robustness to individual variations in tissue optical properties. The proposed technique is promising to provide a non-invasive tool for monitoring the stability of brain oxygenation in broad patient populations.