Design of Noninvasive Blood Constituent Spectrum Data Acquisition System Based on FPGA
GUO Jia1, 2, LU Qi-peng1*, GAO Hong-zhi1, DING Hai-quan1
1. State Key Laboratory of Applied Optics, Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China 2. University of Chinese Academy of Sciences, Beijing 100049, China
Abstract：Blood constituent examination is an important means of health diagnosis. For blood constituent examination, we usually adopt the method of drawing blood, which bring pain and the risk of cross infection to the patient. Near infrared spectrum spectroscopy (NIRS) is a research hotspot in noninvasive blood constituent examination. The spectral data acquisition system of existing instruments is using a Single Chip Microcomputer (SCM) as its microcontroller. The spectral data acquisition system cannot realize the high speed multi-channel acquisition and storage of large amounts of data because of the SCM itself has certain deficiency. So a high speed multi-channel spectral data acquisition system based on Field Programmable Gate Array (FPGA) was designed in this paper in order to realize the system of high speed, multi-channel and high signal-to-noise ratio (SNR) in the area of noninvasive blood constituent examination by near infrared spectroscopy. An Altera Cyclone IV series FPGA was used as the microcontroller in this spectral data acquisition system, which simultaneously controlled two pieces of eight channels AD conversion chip acquiring 16 channels blood pulse wave signal parallel. Under the control of FPGA, the data was cached in FPGA internal ping-pong RAM first, after that it was transferred to an SRAM chip, finally it was sent to the computer via the USB port. Experiment result shows that the spectral data acquisition system can collect 16 channels signal parallel and fast under the sampling frequency of 19 531 Hz and the repetitive signal-to-noise ratio is over 40 000∶1. The system can collect 305 spectrograms per second, more over it can get high SNR human body blood pulse wave signal under the same circumstances. The spectral data acquisition system satisfies the basic requirements of the noninvasive blood constituent examination instrument by NIRS and it can make the instrument collect the human body blood pulse wave data at a high speed. The main innovation point of this article is applying FPGA to the spectral data acquisition system of near infrared noninvasive blood constituent examination instrument. FPGA is able to simultaneously control two pieces of eight channels AD conversion chip acquiring 16 channels blood pulse wave signal parallel. By using FPGA as the microcontroller of the spectral data acquisition system, we solve the problem that SCM as the microcontroller can’t realize multi-channel high speed data acquisition and storage of large amounts of data. The acquisition speed is greatly faster than the system before. The second innovation point of this article is we use FPGA internal resources establish a ping-pong RAM buffer. The spectral data from the AD chip is 24 bit, however, the SRAM chip has only 16 bit data bus. Via the ping-pang RAM buffer, the spectral data can transfer from AD chip to SRAM chip. The ping-pong RAM can realize different digits data seamless transfer from AD chip to SRAM chip.
[1] GAO Hong-zhi，LU Qi-peng，DING Hai-quan，et al(高洪智，卢启鹏，丁海泉，等). Optics and Precision Engineering(光学精密工程)，2013，21(8)：1974. [2] YU Xin-yang，LU Qi-peng，GAO Hong-zhi，et al(于新洋，卢启鹏，高洪智，等). Spectroscopy and Spectral Analysis(光谱学与光谱分析)，2013，33(11)：2983. [3] Chen J, Arnold M A, Small G W. Analytical Chemistry, 2004, 76(18): 5405. [4] Maruo K, Tsurugi M, Tamura M, et al. Applied Spectroscopy, 2005, 59(12): 1480. [5] Saptari V, Youcef-Toumi K. Applied Optics, 2004, 43(13): 2680. [6] Olesberg J T, Arnold M A, Mermelstein C, et al. Applied Spectroscopy, 2005, 59(12): 1480. [7] Arnold M A, Small G W. Analytical Chenistry, 2005, 77(17): 5429. [8] LU Qi-peng，CHEN Cong，PENG Zhong-qi(卢启鹏，陈 丛，彭忠琦). Optics and Precision Engineering(光学精密工程)，2012，20(4)：873. [9] CHEN Xing-dan(陈星旦). Optics and Precision Engineering(光学精密工程)， 2008，16(5)：759. [10] YANG Hao-wen(杨皓旻). Research on Influence of Instrument Parameters to Noninvasive Biomedical Measurement by Near-Infrared Spectroscopy(仪器条件对近红外光谱无创伤血液成分检测影响的研究) . Changchun：Changchun Institute of Optics，Fine Mechanics and Physics，Chinese Academy of Sciences(长春：中国科学院长春光学精密机械与物理研究所)，2011. [11] CHEN Cong(陈 丛). Study on Fast and High Signal-to-noise Ratio Spectrum Signal Detection Technique of Noninvasive Biochemical Monitoring by NIRS(近红外无创伤血液成分分析中快速高信噪比光谱信号检测技术研究). Changchun：Changchun Institute of Optics，Fine Mechanics and Physics，Chinese Academy of Sciences(长春：中国科学院长春光学精密机械与物理研究所)，2013. [12] GUAN Shou-ping, YOU Fu-qiang, Dong Guo-wei(关守平，尤富强，董国伟). Control Engineering of China(控制工程)，2013, 20(5)：970. [13] QIAN Feng(钱 峰). EZ-USB FX2 MCU Principle, Programming and Application(EZ-USB FX2单片机原理、编程及应用). Beijing：Beijing University of Aeronautics and Astronautics Press(北京: 北京航空航天大学出版社)，2006. 148. [14] HUANG Tu-chen，GONG Hui，SHAO Bei-bei(黄土琛，宫 辉，邵贝贝). Atomic Energy Science and Technology(原子能科学技术)，2013，47(11): 2172.
