本文選題：光學(xué)檢測方法　切入點：非接觸測量　出處：《天津大學(xué)》2016年博士論文

【摘要】：皮膚光學(xué)特性與人體生理狀態(tài)密切相關(guān),在無創(chuàng)非接觸人體生理信息測量領(lǐng)域中起著非常重要的作用。本文利用視頻成像和信號加權(quán)方法,分析和討論皮膚視頻圖像序列信號的光強變化特性,進而快速精確地測量皮膚光學(xué)特性;基于這種非接觸光學(xué)測量方法,在心率測量的基礎(chǔ)上,研究人體皮膚的光學(xué)特異性,探索經(jīng)絡(luò)穴位處皮膚的光學(xué)特性。本課題研究的用普通攝像頭測量皮膚表面光學(xué)特性的方法,不僅為人體生理參數(shù)快速測量提供一種簡便安全的方法,也為經(jīng)絡(luò)穴位研究提供一種新的科學(xué)研究和技術(shù)手段。首先,在綜述和分析心率和經(jīng)絡(luò)穴位測量技術(shù)的基礎(chǔ)上,討論了用皮膚光學(xué)特性測量心率和提取穴位信息的物理基礎(chǔ),以及可見光在測量人體生理參數(shù)和穴位信息的適用性。針對人體生理/穴位信息測量要求,分析了皮膚特性測量條件及其對測量結(jié)果的影響,并采取照明光源設(shè)計、圖像匹配和光照補償?shù)确椒p小這種影響,有效地提高了結(jié)果的測量精度。其次,通過對視頻圖像進行三通道分離、信號生成、盲源分離、時頻變換等分析,快速準確地測量心率等人體關(guān)鍵生理參數(shù),為進一步研究人體穴位奇異性奠定了測量基礎(chǔ)。最后,系統(tǒng)地研究通過皮膚表面圖像RGB信號的加權(quán)合成方法,提取人體穴位信息。針對從視頻信號提取穴位信息的方法,采用信號加權(quán)方法減小了脈搏波對穴位信息的影響程度,提取了人體生理測量信號,并采用峰度系數(shù)參量進行分析,研究人體皮膚光學(xué)特異性,得到人體穴位信息;進而采用基于AR的雙譜技術(shù)分析和探討人體穴位區(qū)域的皮膚光學(xué)特性。結(jié)果表明,在可見光條件下,初步觀察到了與穴位重合的皮膚表面光學(xué)特異性區(qū)域。本文的主要創(chuàng)新點如下:1.提出了一種基于皮膚表面光學(xué)圖像確定人體穴位區(qū)域的方法,為定量地研究穴位開拓了新的途徑;2.研究通過對皮膚表面圖像的RGB信號分離和盲源分析,提高圖像信號質(zhì)量的方法,成功提取了心率信號;3.研究通過皮膚表面圖像RGB信號的加權(quán)合成方法,初步觀察到了與穴位重合的皮膚表面光學(xué)特異性區(qū)域。
[Abstract]:The optical properties of skin are closely related to the physiological state of human body and play a very important role in the field of non-invasive non-contact human physiological information measurement. This paper analyzes and discusses the characteristics of light intensity variation of skin video image sequence signals, and then measures the optical characteristics of skin quickly and accurately. Based on this non-contact optical measurement method, the optical specificity of human skin is studied on the basis of heart rate measurement. To explore the optical properties of skin at meridian acupoints. The method of measuring the optical properties of skin surface by ordinary camera in this subject not only provides a simple and safe method for the rapid measurement of physiological parameters of human body. It also provides a new scientific research and technical means for the study of meridian acupoints. Firstly, on the basis of summarizing and analyzing the measuring techniques of heart rate and meridian acupoints, the physical basis of measuring heart rate and extracting acupoint information by optical characteristics of skin is discussed. And the applicability of visible light in measuring physiological parameters of human body and acupoint information. According to the requirement of measuring physiological and acupoint information of human body, the measurement conditions of skin characteristics and their influence on the measurement results are analyzed, and the design of lighting source is adopted. The method of image matching and illumination compensation can reduce the influence and improve the accuracy of the result. Secondly, through the analysis of three-channel separation, signal generation, blind source separation, time-frequency transform, etc. The rapid and accurate measurement of key physiological parameters of human body, such as heart rate, lays a foundation for further study on the singularity of human acupoints. Finally, the weighted synthesis method of RGB signal from skin surface image is studied systematically. According to the method of extracting acupoint information from video signal, the influence of pulse wave on acupoint information is reduced by signal weighting method, and the physiological measurement signal of human body is extracted, and the kurtosis coefficient parameter is used to analyze it. By studying the optical specificity of human skin and obtaining the information of human acupoints, the optical properties of human skin in acupoints are analyzed and discussed by using the bispectral technique based on AR. The results show that, under visible light, The optical specific area of skin surface that overlaps with acupoint is observed preliminarily. The main innovation of this paper is as follows: 1. A method to determine the acupoint area of human body based on the optical image of skin surface is proposed. In order to quantitatively study acupoints, a new approach has been developed. 2. The method of improving image quality by separating RGB signals from skin surface images and analyzing blind sources is studied. Heart rate signal was extracted successfully. By using the weighted synthesis method of RGB signal of skin surface image, the optical specific area of skin surface was preliminarily observed to coincide with acupoint.
【學(xué)位授予單位】：天津大學(xué)
【學(xué)位級別】：博士
【學(xué)位授予年份】：2016
【分類號】：TP391.41

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