Paper
9 October 2021 Photoacoustic blood pressure recognition based on deep learning
Author Affiliations +
Abstract
Photoacoustic Blood Pressure Recognition Based on Deep LearningXiaoman Zhang, Huaqin Wu, Biying Yu, Sulian Wu, Weijie Wu,Jianyong Cai*and Hui Li* Key Laboratory of OptoElectronicScience and Technology for Medicine of Ministry of Education,Fujian Provincial Key Laboratory of Photonics Technology,College of Photonic and Electronic Engineering, Fujian Normal University Ministry of Education, Fuzhou 350007, P.R. ChinaABSTRACTContinuous and non-invasive real-time measurement of human blood pressure is of great importance for health care and clinical diagnosis.Photoacoustic imaging allows absorption-based high-resolution spectroscopyin vivo imaging with a depth beyond that of optical microscopy. In this study,a novel photoacoustic imaging systemis usedfor monitoring and imaging of vesselpulsation,whichcan realize simple, non-invasive and continuous measurement and recognition of blood pressure. Combined with deep learning method, a model is established to effectively evaluate the dependence of blood vessel elasticity on theblood pressure.These results can quickly and accurately identify the photoacoustic signals of blood vessels under different pressures.
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Xiaoman Zhang, Huaqin Wu, Biying Yu, Shulian Wu, Weijie Wu, Jianyong Cai, and Hui Li "Photoacoustic blood pressure recognition based on deep learning", Proc. SPIE 11900, Optics in Health Care and Biomedical Optics XI, 119003A (9 October 2021); https://doi.org/10.1117/12.2602784
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KEYWORDS
Photoacoustic spectroscopy

Blood pressure

Blood vessels

Blood

Photoacoustic imaging

Convolution

Signal generators

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