Cerebral hemodynamics monitoring is vital in the neuroscience intensive care unit to assess brain health. Diffuse optical methods using near-infrared light, e.g., near-infrared spectroscopy (NIRS) and diffuse correlation spectroscopy (DCS), allow for non-invasive prolonged monitoring of cerebral hemoglobin oxygenation and blood flow. For patients suffering from cerebral fluid or tissue volume buildup, intracranial pressure (ICP) is monitored invasively as its elevation compromises cerebral perfusion. The critical closing pressure (CrCP) is a transcranial doppler (TCD) derived non-invasive parameter that correlates with ICP; however, its use is limited due to discomfort during extended TCD measurement. I expanded on Sutin’s preliminary study using DCS to estimate CrCP and found high correlations between DCS obtained CrCP against TCD (R2: 0.77-0.83) in stroke patients. The use of DCS to monitor CrCP is advantageous because its sensors are comfortable to wear and easy to use continuously without the need of a specialized operator. However, the low DCS signal-to-noise ratio (SNR) limits the depth sensitivity and temporal resolution of CrCP measures. Following these encouraging results, I built a low-cost wireless cerebral oximeter based on multi-distance continuous wave NIRS called FlexNIRS, which exhibits high SNR (NEP < 70 fw/Hz0.5) and high sampling rate (266 Hz). This device not only quantifies cerebral oxygenation but resolves the pulsatile blood volume signal at large source-detector separations (33 mm). Using the relationship between blood flow and volume, I augmented pulsatile DCS blood flow measurements with FlexNIRS pulsatile signals. I experimentally demonstrated the high fidelity (R2: 0.98) and > 50-fold SNR improvement of the method, resulting in a one order of magnitude increase in the temporal resolution of CrCP estimates. / 2024-06-12T00:00:00Z
Identifer | oai:union.ndltd.org:bu.edu/oai:open.bu.edu:2144/46328 |
Date | 12 June 2023 |
Creators | Wu, Kuan Cheng |
Contributors | Boas, David A. |
Source Sets | Boston University |
Language | en_US |
Detected Language | English |
Type | Thesis/Dissertation |
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