Speckle contrast optical spectroscopy (SCOS) allows for simultaneous monitoring of blood flow and volume changes within each cardiac pulse. SCOS measurements were collected from 10 subjects at two time points and the blood flow and volume pulse waveforms (PWFs) were extracted. The eXtreme Gradient Boosting model was trained on an individual subject’s first measurement and predicted BP for that subject’s second measurement. A model trained on features extracted from both flow and volume PWFs was compared to a model trained only on features extracted from blood volume PWFs. With the addition of blood flow information, BP estimation was significantly improved.
Speckle contrast optical spectroscopy (SCOS) allows for simultaneous monitoring of blood flow and volume changes within each cardiac pulse. SCOS measurements were collected from 13 subjects and blood flow and volume pulse waveforms (PWFs) were extracted. The correlations between features extracted from the PWFs and blood pressure before and after an exercise activity were investigated. We found that the time delay between the blood flow and volume peaks was strongly correlated with changes in blood pressure (R = -0.73), suggesting that the combination of blood flow and volume information may improve blood pressure estimation.
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