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[A capillary blood flow velocity detection system based on linear array charge-coupled devices].
Zhou, Houming; Wang, Ruofeng; Dang, Qi; Yang, Li; Wang, Xiang.
Afiliação
  • Zhou H; School of Biological Engineering, Chongqing University, Chongqing 400030, P.R.China.
  • Wang R; School of Biological Engineering, Chongqing University, Chongqing 400030, P.R.China.
  • Dang Q; School of Biological Engineering, Chongqing University, Chongqing 400030, P.R.China.
  • Yang L; School of Biological Engineering, Chongqing University, Chongqing 400030, P.R.China.
  • Wang X; School of Biological Engineering, Chongqing University, Chongqing 400030, P.R.China.xwangchn@vip.sina.com.
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi ; 34(6): 900-906, 2017 Dec 01.
Article em Zh | MEDLINE | ID: mdl-29761986
In order to detect the flow characteristics of blood samples in the capillary, this paper introduces a blood flow velocity measurement system based on field-programmable gate array (FPGA), linear charge-coupled devices (CCD) and personal computer (PC) software structure. Based on the analysis of the TCD1703C and AD9826 device data sheets, Verilog HDL hardware description language was used to design and simulate the driver. Image signal acquisition and the extraction of the real-time edge information of the blood sample were carried out synchronously in the FPGA. Then a series of discrete displacement were performed in a differential operation to scan each of the blood samples displacement, so that the sample flow rate could be obtained. Finally, the feasibility of the blood flow velocity detection system was verified by simulation and debugging. After drawing the flow velocity curve and analyzing the velocity characteristics, the significance of measuring blood flow velocity is analyzed. The results show that the measurement of the system is less time-consuming and less complex than other flow rate monitoring schemes.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: Zh Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: Zh Ano de publicação: 2017 Tipo de documento: Article