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Oscillometric techniques are the established standard for non-invasively determining blood pressure. Several algorithms exist for translating oscillometric cardiac waveforms to blood pressure values. These algorithms utilize features of the oscillometric blood pressure waveform to extract systolic and diastolic pressures. Though validated empirically, these features remain contested and are somewhat detached from physiology. The accuracy of current algorithms therefore varies on a patient-to-patient basis and especially declines in non-normotensive patients. We propose an alternative technique based on the assertion that, during cuff deflation following arm occlusion, reperfusion begins when cuff pressure equals systolic pressure. This reperfusion process manifests in relative oxyhemoglobin changes (∆HbO). We measure these changes via near-infrared spectroscopy (NIRS) and show that they produce a more accurate estimate of systolic pressure than existing oscillometric methods.
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William B. Scammon, Jason Yang, Rohan M. Goswami M.D., Jana M. Kainerstorfer, "Blood pressure estimation using near-infrared spectroscopy (NIRS)," Proc. SPIE PC12841, Dynamics and Fluctuations in Biomedical Photonics XXI, PC128410G (13 March 2024); https://doi.org/10.1117/12.3003403