基于吸光度法的全自動血凝儀中光電檢測系統(tǒng)的研究
發(fā)布時間：2019-02-26 11:51
【摘要】：隨著現(xiàn)代醫(yī)學對止血與血栓的形成機制認識的不斷深入,發(fā)現(xiàn)止血和血栓的相關(guān)指標與許多疾病有著密切的聯(lián)系,在臨床檢測中對止血與血栓有關(guān)的指標的檢測項目逐步增多,這對血凝檢測技術(shù)提出了更高的要求。因此,對全自動血凝檢測技術(shù)的研究不僅符合現(xiàn)代醫(yī)學檢測技術(shù)正朝著智能化、自動化、模塊化方向發(fā)展,更是有利于對許多疾病進行預(yù)防和治療,這對我國醫(yī)療事業(yè)的發(fā)展有著重要意義。本文研究了一種基于STM32處理器模塊化設(shè)計的全自動血凝檢測儀。在對現(xiàn)有血凝儀的原理和檢測方法進行了研究和分析的基礎(chǔ)上,本文選擇以朗伯比爾定律為檢測原理的透射比濁法作為檢測方法;針對該方法,對全自動血凝檢測儀進行了模塊化總體設(shè)計,由四大模塊組成,分別為主控模塊、自動進樣模塊、光電檢測模塊、輔助模塊。主控模塊通過CAN總線方式實現(xiàn)對其他模塊的控制與協(xié)調(diào);自動進樣模塊實現(xiàn)待測樣品條碼信息讀取、待測樣品的自動進樣等功能;輔助模塊包括電容式觸摸屏、熱敏打印機、SRAM、SD卡,完成數(shù)據(jù)顯示、打印、存儲等功能;光電檢測系統(tǒng)是核心部件,用于檢測血凝有關(guān)指標;本文對光電檢測模塊進行了詳細設(shè)計,光電檢測模塊包括可發(fā)射固定波長的LED光源、硅光電二極管和放大器等;由于光電檢測電路中存在著背景雜光和各種電子元件的噪聲干擾,而光電信號較為微弱且電路中的放大器不僅放大光電信號也放大了噪聲信號,本文研究了一種基于小波閾值方法的數(shù)字濾波算法,并通過實驗對所研究的小波閾值數(shù)字濾波算法進行了驗證,實驗結(jié)果表明該方法能夠有效濾除噪聲干擾。本文設(shè)計的全自動血凝檢測儀充分利用STM32處理器高性能、低成本、低功耗等優(yōu)點,使分析儀具有自動化程度高、操作簡單方便、人機交互好等優(yōu)點。
[Abstract]:With the deepening understanding of the mechanism of hemostasis and thrombus formation in modern medicine, it is found that the related indexes of hemostasis and thrombus are closely related to many diseases, and the detection items of hemostatic and thrombus-related indexes are gradually increasing in clinical examination. This puts forward higher requirements for hemagglutination detection technology. Therefore, the research on automatic hemagglutination detection technology is not only in line with the development of modern medical detection technology towards intelligence, automation, modularization, but also beneficial to the prevention and treatment of many diseases. This is of great significance to the development of medical care in our country. In this paper, an automatic blood coagulation detector based on the modular design of STM32 processor is studied. Based on the research and analysis of the principle and detection method of the existing hemagglutination instrument, the transmission turbidimetry, which is based on Lambert's law, is chosen as the detection method in this paper. In view of this method, a modular overall design of automatic blood coagulation detector is carried out, which is composed of four modules: main control module, automatic sample injection module, photoelectric detection module and auxiliary module. The main control module realizes the control and coordination of other modules through the way of CAN bus, and the automatic sampling module realizes the reading of the bar code information of the sample to be tested, the automatic sampling of the sample to be tested, and so on. Auxiliary module includes capacitive touch screen, thermal printer, SRAM, SD card, data display, printing, storage and other functions, photoelectric detection system is the core component, used to detect blood coagulation related indicators; In this paper, the photoelectric detection module is designed in detail. The photoelectric detection module includes LED light source, silicon photodiode and amplifier, which can transmit fixed wavelength. Because of the noise interference of background stray light and various electronic components in the photoelectric detection circuit, the photoelectric signal is weak and the amplifier in the circuit not only amplifies the photoelectric signal but also amplifies the noise signal. This paper studies a digital filtering algorithm based on wavelet threshold method and validates the digital filtering algorithm based on wavelet threshold method. The experimental results show that this method can effectively filter the noise interference. The automatic hemagglutination detector designed in this paper makes full use of the advantages of STM32 processor, such as high performance, low cost and low power consumption, so that the analyzer has the advantages of high degree of automation, simple operation and good human-computer interaction.
【學位授予單位】：江蘇科技大學
【學位級別】：碩士
【學位授予年份】：2016
【分類號】：R318.6
本文編號：2430742
[Abstract]:With the deepening understanding of the mechanism of hemostasis and thrombus formation in modern medicine, it is found that the related indexes of hemostasis and thrombus are closely related to many diseases, and the detection items of hemostatic and thrombus-related indexes are gradually increasing in clinical examination. This puts forward higher requirements for hemagglutination detection technology. Therefore, the research on automatic hemagglutination detection technology is not only in line with the development of modern medical detection technology towards intelligence, automation, modularization, but also beneficial to the prevention and treatment of many diseases. This is of great significance to the development of medical care in our country. In this paper, an automatic blood coagulation detector based on the modular design of STM32 processor is studied. Based on the research and analysis of the principle and detection method of the existing hemagglutination instrument, the transmission turbidimetry, which is based on Lambert's law, is chosen as the detection method in this paper. In view of this method, a modular overall design of automatic blood coagulation detector is carried out, which is composed of four modules: main control module, automatic sample injection module, photoelectric detection module and auxiliary module. The main control module realizes the control and coordination of other modules through the way of CAN bus, and the automatic sampling module realizes the reading of the bar code information of the sample to be tested, the automatic sampling of the sample to be tested, and so on. Auxiliary module includes capacitive touch screen, thermal printer, SRAM, SD card, data display, printing, storage and other functions, photoelectric detection system is the core component, used to detect blood coagulation related indicators; In this paper, the photoelectric detection module is designed in detail. The photoelectric detection module includes LED light source, silicon photodiode and amplifier, which can transmit fixed wavelength. Because of the noise interference of background stray light and various electronic components in the photoelectric detection circuit, the photoelectric signal is weak and the amplifier in the circuit not only amplifies the photoelectric signal but also amplifies the noise signal. This paper studies a digital filtering algorithm based on wavelet threshold method and validates the digital filtering algorithm based on wavelet threshold method. The experimental results show that this method can effectively filter the noise interference. The automatic hemagglutination detector designed in this paper makes full use of the advantages of STM32 processor, such as high performance, low cost and low power consumption, so that the analyzer has the advantages of high degree of automation, simple operation and good human-computer interaction.
【學位授予單位】：江蘇科技大學
【學位級別】：碩士
【學位授予年份】：2016
【分類號】：R318.6
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