ArticleJournal of biomedical optics2025
Noninvasive continuous blood pressure prediction using FlexNIRS and machine learning during carotid endarterectomy.
Article in Journal of biomedical optics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
- Introduction to Special Issue on Metabolic Imaging and Spectroscopy, 2025.Journal of biomedical optics · 2025Article
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Authors and funding
9 authors.
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Abstract
Significance: Continuous blood pressure (BP) monitoring is crucial for maintaining hemodynamic stability and complication prevention. Near-infrared spectroscopy photoplethysmography (NIRS-PPG) offers a noninvasive alternative to arterial lines (A-line) for continuous BP monitoring. Aim: We aim to assess whether a wearable NIRS-PPG device (FlexNIRS) can estimate mean arterial pressure (MAP) using linear and Gaussian process regression (GPR) models. Approach: NIRS-PPG signals were recorded bilaterally in 10 patients undergoing carotid endarterectomy. Subject-specific linear regression and GPR models predicted MAP based on heart rate and peak features of the NIRS-PPG signal. A-line readings served as the reference. Results: All models achieved strong performance with Conclusions: This preliminary study supports the feasibility of noninvasive MAP estimation using NIRS-PPG and machine learning. The approach may provide a practical alternative for BP monitoring after A-line removal in postoperative and intensive care unit settings.
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