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一项用于量化成像光电容积脉搏波描记术中组织吸光度的光生理建模研究。

A study of opto-physiological modeling to quantify tissue absorbance in imaging photoplethysmography.

作者信息

Hu Sijung, Zheng Jia, Azorin Peris Vicente

机构信息

Department of Electronic and Electrical Engineering, Loughborough University, Ashby Road, Leicestershire LE11 3TU UK.

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2010;2010:5776-9. doi: 10.1109/IEMBS.2010.5627837.

Abstract

This paper presents an opto-physiological model (OPM) to quantify the absorbance of multi-layered tissue in imaging photoplethysmography (IPPG). The approach used to generate such a model is to revise the path length of the Beer Lambert law through the Monte Carlo (MC) simulation of multi-layered tissue. The OPM can mathematically quantify the effect of optical properties on the absorbance of multilayered tissue. Subsequently, the absorbance measured from homogeneous, multi-layered tissue phantoms compares with model predictions. To this end, the model is validated to predict the widest range of experimental outcomes while maintaining the highest possible level of accuracy. This study brings a new approach to understand the principle of IPPG.

摘要

本文提出了一种光生理模型(OPM),用于量化成像光电容积脉搏波描记法(IPPG)中多层组织的吸光度。生成该模型所采用的方法是通过对多层组织进行蒙特卡洛(MC)模拟来修正比尔-朗伯定律的光程长度。该光生理模型可以从数学上量化光学特性对多层组织吸光度的影响。随后,将从均匀多层组织模型测得的吸光度与模型预测结果进行比较。为此,该模型经过验证,能够在保持尽可能高的准确度的同时预测最广泛的实验结果。本研究为理解IPPG的原理带来了一种新方法。

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