Stand-alone segmentation of blood flow pulsatility measured with diffuse correlation spectroscopy

We present a stand-alone blood flow index (BFI) pulse segmentation method for diffuse correlation spectroscopy that uses a wavelet-based representation of the BFI signal at the cardiac frequency in place of an exogenous physiological reference. We use this wavelet-based segmentation method to quantify BFI waveform morphology in a cohort of 30 healthy adults. We demonstrate that the waveform morphology features obtained with the wavelet approach strongly agree with those obtained using an exogenous blood pressure reference signal. These results suggest the promise of stand-alone wavelet-based BFI segmentation for quantifying BFI waveform morphological features.

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Publication Details

Journal
Biomedical Optics Express
Published
2024-09-09
DOI
https://doi.org/10.1364/boe.533916
Citations
1
Primary Topic
Optical Imaging and Spectroscopy Techniques
Type
article
Field-Weighted Citation Impact
0.40

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Stand-alone segmentation of blood flow pulsatility measured with diffuse correlation spectroscopy

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Stand-alone segmentation of blood flow pulsatility measured with diffuse correlation spectroscopy

Srinidhi Bharadwaj, Hongting Zhao, Katherine Turrentine, Rowan O. Brothers, Sydney E. Triplett, Tara M. Urner, Shasha Bai, Vidisha Goyal, Yueh‐Chi Wu, Ayesha Quadri, Mariam Akbar, Tisha Boodooram, Eashani Sathialingam, Kyle R. Cowdrick, Erin M. Buckley
article en
1 citations

Abstract

We present a stand-alone blood flow index (BFI) pulse segmentation method for diffuse correlation spectroscopy that uses a wavelet-based representation of the BFI signal at the cardiac frequency in place of an exogenous physiological reference. We use this wavelet-based segmentation method to quantify BFI waveform morphology in a cohort of 30 healthy adults. We demonstrate that the waveform morphology features obtained with the wavelet approach strongly agree with those obtained using an exogenous blood pressure reference signal. These results suggest the promise of stand-alone wavelet-based BFI segmentation for quantifying BFI waveform morphological features.

Biomedical Optics ExpressVol. 15(10)
Georgia Institute of Technology (US), Emory Healthcare (US), Emory University (US), Emory and Henry College (US), The Wallace H. Coulter Department of Biomedical Engineering (US), Children's Healthcare of Atlanta (US)
National Science Foundation, Emory University, Georgia Clinical and Translational Science Alliance, National Heart, Lung, and Blood Institute, National Institute of Neurological Disorders and Stroke, National Center for Advancing Translational Sciences
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Openalex Percentile: Top 35%
Optical Imaging and Spectroscopy Techniques
0.40
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