title: Speckle correlation sensor for measuring blood flow velocity. Development of an algorithm for processing and analyzing the signal from the sensor
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¼Ð°Ð³Ð¸ÑÑÑÐ°
titleType: Subtitle
title: Ð¡Ð¿ÐµÐºÐ»-ÐºÐ¾ÑÑÐµÐ»ÑÑÐ¸Ð¾Ð½Ð½ÑÐ¹ Ð´Ð°ÑÑÐ¸Ðº Ð´Ð»Ñ Ð¸Ð·Ð¼ÐµÑÐµÐ½Ð¸Ñ ÑÐºÐ¾ÑÐ¾ÑÑÐ¸ ÐºÑÐ¾Ð²Ð¾ÑÐ¾ÐºÐ°. Ð Ð°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ° Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð° Ð´Ð»Ñ Ð¾Ð±ÑÐ°Ð±Ð¾ÑÐºÐ¸ Ð¸ Ð°Ð½Ð°Ð»Ð¸Ð·Ð° ÑÐ¸Ð³Ð½Ð°Ð»Ð° Ñ Ð´Ð°ÑÑÐ¸ÐºÐ°
Creators: name: ÐÐ½Ñ ÐÐ¸Ð½
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2024
Subjects: Ð­Ð»ÐµÐºÑÑÐ¸ÑÐµÑÐºÐ¸Ðµ ÑÐ¸Ð³Ð½Ð°Ð»Ñ
speckle correlation sensor
blood flow velocity
laser speckle contrast analysis
non-invasive imaging
biomedical research
algorithm development.

description: The subject of the graduate qualification work is âspeckle correlation sen-sor for measuring blood flow velocity development of an algorithm for pro-cessing and analyzing the signal from the sensor â.The given work is devoted to investigate the development of a speckle correlation sensor for measuring blood flow velocity, with a particular focus on devising an algorithm for pro-cessing and analyzing the signal from the sensor. Speckle correlation sensors, leveraging the laser speckle effect, offer a non-invasive approach to assessing blood flow dynamics. This method involves analyzing speckle patterns, which are random arrays of bright and dark spots formed when a laser illuminates a rough surface, such as biological tissue. As blood flows, the resulting changes in speckle patterns provide critical data on blood flow velocity. The algorithm developed in this research integrates Laser Speckle Con-trast Analysis (LASCA) to enhance the resolution and accuracy of blood flow imaging. By capturing speckle patterns at various time points and calculating the correlation of these patterns, the sensor can effectively measure blood flow velocity. This process includes several key steps: image acquisition, contrast calculation, denoising, and contrast conversion. The algorithm processes hun-dreds of frames per second, ensuring high temporal resolution to capture rapid changes in blood flow.
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