[1]王红珂,张言,钱诚,等.基于近红外光的腹部出血检测系统的开发[J].生物医学工程研究,2016,03:178-182.
WANG Hongke,ZHANG Yan,QIAN Cheng,et al.Development of an Abdominal Bleeding Detecting System ?based on Near Infrared Light[J].Journal of Biomedical Engineering Research,2016,03:178-182.
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《生物医学工程研究》[ISSN:1006-6977/CN:61-1281/TN]
- 期数:
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2016年03期
- 页码:
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178-182
- 栏目:
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- 出版日期:
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2016-09-25
文章信息/Info
- Title:
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Development of an Abdominal Bleeding Detecting System ?based on Near Infrared Light
- 文章编号:
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1672-6278 (2016)03-0178-05
- 作者:
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王红珂; 张言; 钱诚; 薛莉; 刘玉冰; 李韪韬
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南京航空航天大学 自动化学院 生物医学工程系,南京 211100
- Author(s):
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WANG Hongke; ZHANG Yan; QIAN Cheng; XUE Li; LIU Yubing; LI Weitao
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Department of Biomedical Engineering, College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211100, China
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- 关键词:
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无损检测; 光电信号采集; 锁相放大; 检测深度; 光强分布
- Keywords:
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Nondestructive testing; Photo-electronic signal gathering; Lock-in amplifier; Detecting depth; Light distribution
- 分类号:
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R318
- DOI:
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- 文献标识码:
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A
- 摘要:
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开发了一套基于近红外光的腹部出血检测系统,通过建立的腹部出血体外模型,对光在腹部组织中的分布情况和系统的有效检测深度进行了实验验证。 波长为760 nm和850 nm的光可以明显区分出正常腹部和腹部下方的损伤出血。该系统的有效检测深度为2.5 cm,760 nm光的检测线性度要好于850 nm。近红外光技术在浅层腹部出血检测中有较好的检测灵敏度。
- Abstract:
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To design an abdominal bleeding detecting instrument based on near-infrared intensity and explore the experimental application. A set of abdominal bleeding detecting system based on near infrared light was developped and the in vitro model of abdominal bleeding was established. The distribution of photons in the abdominal tissue and the effective detecting depth of the system were also studied. Results showed that light with a wavelength of 760 nm and 850 nm could be clearly distinguished between normal abdomen and the bleeding under the abdomen associated with damage. The effective detection depth of the present system was 2.5 cm. Detection linearity of the light of 760 nm was better than that of 850 nm. Near infrared technology has a potential for the detection sensitivity in the shallow abdominal bleeding detection.
备注/Memo
- 备注/Memo:
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(收稿日期:2016-02-27)国家自然科学基金资助项目(61378092,61275199);南京航空航天大学研究生创新基地(实验室)开放基金资助项目(kfjj20150313)。通信作者Email:liweitao@nuaa.edu.
更新日期/Last Update:
2017-01-18