חישה ביורפואית ע"י ניתוח זמני של תנודות ננומטריות

שלחו לחבר
שנה
2017

Remote bio sensing using time varied speckle patterns

The presented research is a novelty platform that can be used for remote sensing of biomedical parameters and consequently to assist in remote diagnosis of diseases. The research is based upon illuminating a surface with a laser and then using an imaging camera to perform temporal and spatial tracking of secondary speckle patterns in order to have nano metric accurate estimation of the movement of the back-reflecting surface. If the back-reflecting surface is skin located close to main blood arteries then biomedical monitoring of various parameters can be realized. The main feature of this research is that the same single sensor is used for sensing of many biomedical parameters simultaneously. Remote and continuous estimation of heart beats, respiration, blood pulse pressure, blood coagulation, oximetry and glucose concentrations in the blood stream, detection of fractions in bones and sensing of melanoma were applied during my research. Since many of the movements are related to various sound signals generated in the body, the main aim of the presented research is to be able to hear the “noises” that various parts and organs of our body are generating and based on that to be able to diagnose (in a non-contact and continues manner) developing diseases or malfunctioning of the body at an early stage.

דרישות:

מבוא לאופטיקה מודרנית, DSP

מקורות:

J. W. Goodman, "Some fundamental properties of speckle*," J. Opt. Soc. Am. 66, 1145-1150 (1976).
Zeev Zalevsky, Yevgeny Beiderman, Israel Margalit, Shimshon Gingold, Mina Teicher, Vicente Mico, and Javier Garcia, "Simultaneous remote extraction of multiple speech sources and heart beats from secondary speckles pattern," Opt. Express 17, 21566-21580 (2009).
N. Ozana et al., "Demonstration of a Remote Optical Measurement Configuration That Correlates With Breathing, Heart Rate, Pulse Pressure, Blood Coagulation, and Blood Oxygenation," in Proceedings of the IEEE, vol. 103, no. 2, pp. 248-262, Feb. 2015.

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