體感誘發(fā)電位監(jiān)測系統(tǒng)的模擬實驗與動物實驗
發(fā)布時間：2019-02-12 10:38
【摘要】：作為一種常用的脊柱外科手術(shù)術(shù)中監(jiān)護手段,體感誘發(fā)電位越來越多的應(yīng)用于臨床中。近年來,脊柱外科疾病的高發(fā)病率和年輕化趨勢日益明顯,越來越多的人深受其苦,隨著現(xiàn)代人的生活壓力的增大,越來越多的人患上有腰椎間盤突出、頸椎病等一系列脊柱外科病。而脊柱外科疾病中很大一部分患者需要外科手術(shù)手段進行干預(yù)治療。鑒于現(xiàn)階段脊柱外科手術(shù)仍然是高危手術(shù)類型,手術(shù)中對病人的直接傷害和并發(fā)癥都會嚴重的影響到患者的身心健康,因此要求更精準更快速的進行術(shù)中監(jiān)護,以確保手術(shù)的安全進行。目的：設(shè)計一套體感誘發(fā)電位采集系統(tǒng),解決現(xiàn)有儀器前置放大器移動性差、疊加次數(shù)多、缺乏頻域維度的測試三個問題。設(shè)計一套模擬人訓(xùn)練系統(tǒng)病使用該系統(tǒng)對體感誘發(fā)電位信號采集系統(tǒng)進行測試。設(shè)計動物實驗,對體感誘發(fā)電位采集系統(tǒng)進行測試。方法：使用無線傳輸技術(shù)、FPGA硬件濾波技術(shù)、LabVIEW作為上位機軟件對體感誘發(fā)電位信號采集系統(tǒng)進行改良設(shè)計。設(shè)計一套用于醫(yī)護人員訓(xùn)練用的模擬訓(xùn)練系統(tǒng)并對其進行測試。最后,對信號采集系統(tǒng)進行一系列的性能測試和評估：首先,使用模擬訓(xùn)練系統(tǒng)對信號采集系統(tǒng)進行測試。然后設(shè)計動物實驗對信號采集系統(tǒng)進行實測,實驗中使用其中12只Sprague-Dawley (SD)大鼠進行了信號測試。結(jié)果：根據(jù)動物實驗結(jié)果對以下三個方面進行了分析。[1]時頻譜對應(yīng)時域信號處理優(yōu)勢：用時頻譜的方式呈現(xiàn)的信號特征,其變化率大于信號在時域下的特征值。[2]新的復(fù)合濾波與原疊加濾波的比較：FPGA復(fù)合疊加算法濾波,可以將信號采集時間縮短為原來的1/5,并且有利于計算機進行進一步的自動識別判斷。[3]自動判據(jù)進行預(yù)警結(jié)果：整個實驗中共有8只手術(shù)成功大鼠,均可以完成自動報警。結(jié)論：本研究中設(shè)計的體感誘發(fā)電位信號采集系統(tǒng),可以有效的減少信號采集所需要的時間,并給出監(jiān)護人員自動預(yù)警的建議。
[Abstract]:Somatosensory evoked potential (SEP), as a commonly used intraoperative monitoring method in spinal surgery, is applied more and more in clinical practice. In recent years, the high incidence of spinal surgery and the trend of younger people have become increasingly obvious, more and more people suffer from it. With the increasing pressure of modern life, more and more people have lumbar disc herniation. A series of spinal diseases, such as cervical spondylosis. A large proportion of patients with spinal diseases need surgical intervention. In view of the fact that spinal surgery is still a high-risk type of surgery at present, direct injuries and complications in the operation will seriously affect the physical and mental health of the patients, so it is necessary to carry out intraoperative monitoring more accurately and quickly. To ensure the safety of the operation. Aim: to design a set of somatosensory evoked potential (SEP) acquisition system to solve the three problems of low mobility of preamplifier, multiple stacking times and lack of frequency domain dimension testing. A simulated human training system was designed to test the somatosensory evoked potential (SEP) signal acquisition system. An animal experiment was designed to test the somatosensory evoked potential (SEP) acquisition system. Methods: using wireless transmission technology, FPGA hardware filtering technology and LabVIEW as host computer software to improve the design of somatosensory evoked potential (SEP) signal acquisition system. A simulation training system was designed and tested for medical staff training. Finally, the signal acquisition system is tested and evaluated. Firstly, the analog training system is used to test the signal acquisition system. Then the animal experiment was designed to measure the signal acquisition system. Twelve of the Sprague-Dawley (SD) rats were used to test the signal in the experiment. Results: according to the results of animal experiments, the following three aspects were analyzed. [1] time spectrum corresponds to the advantages of time domain signal processing. The rate of change is greater than the eigenvalue of the signal in time domain. [2] the comparison between the new composite filter and the original superposition filter: the FPGA composite stack filter can shorten the signal acquisition time to 1 / 5 of the original, And it is beneficial to the computer for further automatic recognition and judgment. [3] automatic criteria for early warning results: there are 8 successful rats in the whole experiment, all of them can complete the automatic alarm. Conclusion: the somatosensory evoked potential (SEP) signal acquisition system designed in this study can effectively reduce the time needed for signal acquisition and give the suggestion of automatic warning.
【學(xué)位授予單位】：北京協(xié)和醫(yī)學(xué)院
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2015
【分類號】：R687.3;TP274
本文編號：2420363
[Abstract]:Somatosensory evoked potential (SEP), as a commonly used intraoperative monitoring method in spinal surgery, is applied more and more in clinical practice. In recent years, the high incidence of spinal surgery and the trend of younger people have become increasingly obvious, more and more people suffer from it. With the increasing pressure of modern life, more and more people have lumbar disc herniation. A series of spinal diseases, such as cervical spondylosis. A large proportion of patients with spinal diseases need surgical intervention. In view of the fact that spinal surgery is still a high-risk type of surgery at present, direct injuries and complications in the operation will seriously affect the physical and mental health of the patients, so it is necessary to carry out intraoperative monitoring more accurately and quickly. To ensure the safety of the operation. Aim: to design a set of somatosensory evoked potential (SEP) acquisition system to solve the three problems of low mobility of preamplifier, multiple stacking times and lack of frequency domain dimension testing. A simulated human training system was designed to test the somatosensory evoked potential (SEP) signal acquisition system. An animal experiment was designed to test the somatosensory evoked potential (SEP) acquisition system. Methods: using wireless transmission technology, FPGA hardware filtering technology and LabVIEW as host computer software to improve the design of somatosensory evoked potential (SEP) signal acquisition system. A simulation training system was designed and tested for medical staff training. Finally, the signal acquisition system is tested and evaluated. Firstly, the analog training system is used to test the signal acquisition system. Then the animal experiment was designed to measure the signal acquisition system. Twelve of the Sprague-Dawley (SD) rats were used to test the signal in the experiment. Results: according to the results of animal experiments, the following three aspects were analyzed. [1] time spectrum corresponds to the advantages of time domain signal processing. The rate of change is greater than the eigenvalue of the signal in time domain. [2] the comparison between the new composite filter and the original superposition filter: the FPGA composite stack filter can shorten the signal acquisition time to 1 / 5 of the original, And it is beneficial to the computer for further automatic recognition and judgment. [3] automatic criteria for early warning results: there are 8 successful rats in the whole experiment, all of them can complete the automatic alarm. Conclusion: the somatosensory evoked potential (SEP) signal acquisition system designed in this study can effectively reduce the time needed for signal acquisition and give the suggestion of automatic warning.
【學(xué)位授予單位】：北京協(xié)和醫(yī)學(xué)院
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2015
【分類號】：R687.3;TP274
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