A Buccal Mucosal Oximeter Accurately Measures Arterial Oxyhemoglobin Saturation
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Bibliographic record
Abstract
Purpose: While arterial oxyhemoglobin saturation (SaO 2 ) decreases during sleep in many patients with sleep apnea and pulmonary diseases, personalized oximeters suitable for multi-night monitoring of SpO 2 are not readily available. The present report describes a custom buccal mucosal intraoral oximeter that might provide the opportunity for such long-term monitoring given its strong accuracy in measuring SpO 2 over a range of clinically relevant hypoxemia. Patients and Methods: The intraoral buccal mucosal oximeter was constructed by encapsulating a reflectance pulse oximeter in an overlay of the maxillary dentition. Accuracy was assessed during non-motion conditions in normal participants (n = 12) made progressively hypoxic by decreasing the partial pressure of end-tidal oxygen (PETO 2 ). CO-oximeter values of SaO 2 from arterial blood constituted the “gold standard” for comparison with the buccal mucosal oximeter’s values. The oximeter’s pulse rate and an electrocardiogram (ECG) determined heart rate were also compared. Results: Analysis of 325 paired SaO 2 values from the CO-oximeter and buccal mucosal oximeter yielded the following: r = 0.95; bias = 0.72; and accuracy root-mean-square (A RMS ) = 2.94%. Results from the pulse rate/ECG analysis were: r = 0.99; bias = 0.30; and A RMS = 2.08 bpm. Conclusion: These results reveal robust accuracy of the buccal mucosal oximeter measurement of SaO 2 and pulse rate, as shown by good agreement with a “gold standard” over a wide range of arterial hypoxemia. Such clinically acceptable accuracy indicates that this novel reflectance oximeter may prove useful in management of patients with sleep-induced hypoxemia by allowing for long-term monitoring of SaO 2 . Keywords: hypoxia, oximetry, intraoral pulse oximeter, respiratory monitoring, obstructive sleep apnea, remote patient monitoring
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it