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Feasibility of Specular Reflection Imaging for Extraction of Neck Vessel Pressure Waveforms.
Saiko, Gennadi; Burton, Timothy; Douplik, Alexandre.
Afiliación
  • Saiko G; Photonics Group, Department of Physics, Faculty of Science, Ryerson University, Toronto, ON, Canada.
  • Burton T; Photonics Group, Department of Physics, Faculty of Science, Ryerson University, Toronto, ON, Canada.
  • Douplik A; Photonics Group, Department of Biomedical Engineering, Faculty of Science, Ryerson University, Toronto, ON, Canada.
Front Bioeng Biotechnol ; 10: 830231, 2022.
Article en En | MEDLINE | ID: mdl-35387295
ABSTRACT
Cardiovascular disease (CVD) is a leading cause of death worldwide and was responsible for 31% of all deaths in 2015. Changes in fluid pressures within the vessels of the circulatory system reflect the mechanical function of the heart. The jugular venous (JV) pulse waveform is an important clinical sign for assessing cardiac function. However, technology able to aid evaluation and interpretation are currently lacking. The goal of the current study was to develop a remote monitoring tool that aid clinicians in robust measurements of JV pulse waveforms. To address this need, we have developed a novel imaging modality, Specular Reflection Vascular Imaging (SRVI). The technology uses specular reflection for visualization of skin displacements caused by pressure pulsations in blood vessels. SRVI has been tested on 10 healthy volunteers. 10-seconds videos of the neck illuminated with a diffuse light source were captured at 250 fps. SRVI was able to identify and discriminate skin displacements caused by carotid artery and jugular vein pulsations to extract both carotid artery and jugular vein waveforms, making them easier to be visualized and interpreted. The method provided a 6-fold improvement in signal strength over a comparator remote PPG dataset. The current pilot study is a proof-of-concept demonstration of the potential of Specular Reflection Vascular Imaging for extraction of JV pulse waveforms.
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Texto completo: 1 Bases de datos: MEDLINE Idioma: En Revista: Front Bioeng Biotechnol Año: 2022 Tipo del documento: Article País de afiliación: Canadá

Texto completo: 1 Bases de datos: MEDLINE Idioma: En Revista: Front Bioeng Biotechnol Año: 2022 Tipo del documento: Article País de afiliación: Canadá