8 research outputs found

    Identification and analysis of odor of patients with exterior syndrome based on medical electronic nose

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    目的:运用自主研发的医用电子鼻探讨表证患者口腔呼气的气味图谱特征及气味识别准确率。方法:选择表证青年患者150例和健康青年人200名,运用基于薄膜型气体传感器阵列技术的医用电子鼻(nAnOfIlM-EnOSE MEdICAl001)采集口腔呼气的气味图谱,以响应曲线的振幅和上升斜率作为曲线特征,分析表证患者及其寒热病性的图谱特征,并进行判别分析。结果:表寒证和表热证患者的气味图谱响应曲线A、b、d、E、g、H的振幅和上升斜率均显著高于健康学生(P<0.01)。表热证患者的气味图谱响应曲线A、b、d、E、H的振幅和上升斜率均显著高于表寒证患者(P<0.05,P<0.01),表热证患者的气味图谱响应曲线g的振幅显著高于表寒证患者(P<0.01)。判别分析显示对健康青年人、表寒证青年患者、表热证青年患者口腔呼气的识别准确率分别为90.5%、86.5%、88.0%,对全部案例的识别准确率为89.1%。结论:表证青年患者口腔呼气的气味较健康青年人浓烈,且表热证青年患者气味变化较表寒证青年患者更明显,本医用电子鼻能够较为敏感和准确地辨识表证青年患者口腔呼气的气味特征及其寒热病性。医用电子鼻技术的发展可为中医嗅诊客观化研究提供手段和方法。Objective: to explore the odor response pattern characteristics of oral breath of patients with exterior syndrome and accuracy rates of odor identiication by medical electronic nose which was independent research and development.Methods: 150 young patients with exterior syndrome and 200 healthy young students were observed.Odor response patterns of oral breath were collected by the electronic nose(Nanoilm-Enose Medical001) based on a ilm of gas sensor array.The amplitude and rising slope of response curves were selected as curve characteristics to analyze pattern characteristics of exterior syndrome including exterior cold syndrome and exterior heat syndrome,and discriminant analysis was done.Results: In odor response patterns of patients with exterior cold syndrome and with exterior heat syndrome,the amplitudes and rising slopes of response curve A,B,D,E,G and H were signiicantly higher than those of healthy students(P<0.01).In odor response patterns of patients with exterior heat syndrome,the amplitudes and rising slopes of response curve A,B,D,E and H were signiicantly higher than those of patients with exterior cold syndrome(P<0.05,P<0.01),and the amplitude of response curve G was signiicantly higher than that of patients with exterior cold syndrome(P<0.01).Discriminant analysis showed that the accuracy rate of oral breath identiication of healthy students,patients with exterior cold syndrome and patients with exterior heat syndrome was 90.5%,86.5% and 88.0% respectively,and the accuracy rate of all cases was 89.1%.Conclusion: The odors of oral breath of patients with exterior syndrome were signiicantly stronger than those of healthy people.The odors of patients with exterior heat syndrome were signiicantly stronger than those of patients with exterior cold syndrome.This medical electronic nose could distinguish odor characteristic of oral breath of patients with exterior syndrome sensitively and accurately;and it could also distinguish odor characteristic of exterior cold syndrome from exterior heat syndrome.The development of medical electronic nose could provide a kind of new means for the study on the objectiication of TCM smelling examination.国家自然科学基金项目(No.30901899); 福建省教育厅A类项目(No.JA09132)~

    Study on odor response patterns of patients with exterior syndrome based on electronic nose technology

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    目的:运用电子鼻技术探讨表证患者口腔呼气的气味图谱特征。方法:选择表证患者(青年学生)114例和健康青年学生255名,运用基于薄膜型气体传感器阵列技术的医用电子鼻(nAnOfIlM-EnOSE MEdICAl001)采集口腔呼气的气味图谱,以响应曲线的振幅和上升斜率作为曲线特征,分析表证患者及其寒热病性的图谱特征。结果:1表证患者的气味图谱响应曲线A、b、d、E、g、H的振幅和上升斜率均显著高于健康学生(P<0.05,P<0.01)。2表寒证和表热证患者的气味图谱响应曲线A、b、d、E、g、H的振幅均显著高于健康学生(P<0.05,P<0.01)。3表寒证患者的气味图谱响应曲线A、b、d、g的上升斜率显著高于健康学生(P<0.05,P<0.01)。表热证患者的气味图谱响应曲线A、b、d、E、g、H的上升斜率显著高于健康学生(P<0.05,P<0.01)。4表热证患者的气味图谱响应曲线A、b、d、E、H的振幅和上升斜率均显著高于表寒证患者(P<0.05)。结论:表证患者口腔呼气的气味较健康人浓烈,且表热证患者气味变化较表寒证患者更明显,本电子鼻能够较为敏感和准确地辨识表证患者口腔呼气的气味特征及其寒热病性,电子鼻技术的发展可为中医嗅诊客观化研究提供手段和方法。Objective: To explore the odor response pattern characteristics of oral breath of patients with exterior syndrome by electronic nose.Methods: 114 patients with exterior syndrome(young students) and 255 healthy young students were observed.Odor response patterns of oral breath were collected by the electronic nose(Nanofilm-Enose Medical001) based on a thin film of gas sensors array.The amplitude and rising slope of response curves were selected as curve characteristics to analyze pattern characteristics of exterior syndrome including exterior cold syndrome and exterior heat syndrome.Results: ①In odor response patterns of patients with exterior syndrome,the amplitudes and rising slopes of response curve A,B,D,E,G and H were significantly higher than those of healthy students(P<0.05,P<0.01).②In odor response patterns of patients with exterior cold syndrome and with exterior heat syndrome,the amplitudes of response curve A,B,D,E,G and H were significantly higher than those of healthy students(P<0.05,P<0.01).③In odor response patterns of patients with exterior cold syndrome,the rising slopes of response curve A,B,D and G were significantly higher than those of healthy students(P<0.05,P<0.01).In odor response patterns of patients with exterior heat syndrome,the rising slopes of response curve A,B,D,E,G and H were significantly higher than those of healthy students(P<0.05,P<0.01).④In odor response patterns of patients with exterior heat syndrome,the amplitudes and rising slopes of response curve A,B,D,E and H were significantly higher than those of patients with exterior cold syndrome(P<0.05).Conclusion: The odors of oral breath of patients with exterior syndrome were significantly stronger than those of healthy people.The odors of patients with exterior heat syndrome were significantly stronger than those of patients with exterior cold syndrome.This electronic nose could distinguish odor characteristics of oral breath of patients with exterior syndrome sensitively and accurately;and it could also distinguish odor characteristics of exterior cold syndrome from exterior heat syndrome.The development of electronic nose could provide a kind of new means for the study on the objectification of TCM smelling examination.国家自然科学基金项目(No.30901899); 福建省教育厅A类项目(No.JA09132)~

    The Design and Implementation of software breakpoint based on SPARC V8 processor

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    摘要:以 一 款 处 理 器 为 例 ,分析 了 处 理 器 分 级存储 系统 中 和 对 断 点 调 试实现 的 影 响 ,提 出有效 的 解决 办 法 ,并成 功 应 用 到该 处理 器 的 调 试 工 具 中。该 方 法也适 用 于其他具 有和 的 处 理 器 断 点 调 试 设计

    半导体光放大器超快相位特性的理论分析

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    JUNO Sensitivity on Proton Decay pνˉK+p\to \bar\nu K^+ Searches

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    The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this paper, the potential on searching for proton decay in pνˉK+p\to \bar\nu K^+ mode with JUNO is investigated.The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits to suppress the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via pνˉK+p\to \bar\nu K^+ is 36.9% with a background level of 0.2 events after 10 years of data taking. The estimated sensitivity based on 200 kton-years exposure is 9.6×10339.6 \times 10^{33} years, competitive with the current best limits on the proton lifetime in this channel

    JUNO sensitivity on proton decay pνK+p → νK^{+} searches

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    JUNO sensitivity on proton decay p → ν K + searches*

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    The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this study, the potential of searching for proton decay in the pνˉK+ p\to \bar{\nu} K^+ mode with JUNO is investigated. The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits suppression of the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via pνˉK+ p\to \bar{\nu} K^+ is 36.9% ± 4.9% with a background level of 0.2±0.05(syst)±0.2\pm 0.05({\rm syst})\pm 0.2(stat) 0.2({\rm stat}) events after 10 years of data collection. The estimated sensitivity based on 200 kton-years of exposure is 9.6×1033 9.6 \times 10^{33} years, which is competitive with the current best limits on the proton lifetime in this channel and complements the use of different detection technologies
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