DTMS-EEG檢測系統(tǒng)的設(shè)計(jì)與分析
發(fā)布時(shí)間：2018-10-31 09:06
【摘要】：精神疾病現(xiàn)已成為我國嚴(yán)重的公共健康和社會(huì)問題,但其診斷尚缺乏量化標(biāo)準(zhǔn)。將深部經(jīng)顱磁刺激(DTMS)作為引起大腦特異性的輸入,EEG信號(hào)作為輸出獲得腦功能的狀態(tài),是檢測和診斷精神疾病的有效方法之一。其中腦電檢測分析是診斷精神疾病的核心技術(shù)。本文提出實(shí)現(xiàn)了一種多路DTMS-EEG無線傳輸檢測方法。 首先,利用CPLD同步控制多路AD轉(zhuǎn)換器,實(shí)現(xiàn)了多路同步傳輸?shù)南到y(tǒng)結(jié)構(gòu);其次,通過硬件三級(jí)放大、有源、無源、高階濾波處理,實(shí)現(xiàn)了對(duì)EEG信號(hào)調(diào)理;然后,根據(jù)DTMS刺激特點(diǎn),加入可編程放大及模擬開關(guān),利用外部觸發(fā)同步控制DTMS刺激信號(hào),可編程放大及模擬開關(guān),實(shí)現(xiàn)了DTMS刺激下EEG信號(hào)在線檢測的特殊控制;最后,通過自動(dòng)比特位選擇數(shù)據(jù)壓縮等方法,實(shí)現(xiàn)了多通道下信號(hào)的無線傳輸,并在傳輸接收端將數(shù)據(jù)上傳至上位機(jī),進(jìn)行顯示、控制。 根據(jù)腦電信號(hào)的特點(diǎn),將互信息方法與Lempel-Ziv復(fù)雜度方法的優(yōu)點(diǎn)相結(jié)合,提出一種MILZC新方法,以針刺EEG數(shù)據(jù)為對(duì)象,分析不同腦區(qū)間信息交流的復(fù)雜度。通過對(duì)8位受試者手針六種狀態(tài)下的分析(針刺前,針刺50次/分鐘,針刺100次/分鐘,針刺150次/分鐘,針刺200次/分鐘,針刺后),結(jié)果表明(1)MILZC值在針刺過程中增加;(2)100次/分鐘和針刺150次/分鐘針刺頻率時(shí)比50次/分鐘和針刺200次/分鐘更加有效;(3)異側(cè)腦半球的響應(yīng)要明顯高于同側(cè)半球。以上結(jié)果證明,MILZC方法能有效地反映針刺下腦區(qū)間信息交流復(fù)雜度的變化。方法可以直接應(yīng)用于其他EEG數(shù)據(jù)的分析。 本文設(shè)計(jì)的DTMS-EEG無線傳輸檢測系統(tǒng),具有多路同步,多路傳輸,DTMS刺激下EEG在線檢測的特點(diǎn),為精神疾病的診療提供一種新思路。提出的MILZC-EEG分析方法從腦功能網(wǎng)絡(luò)角度進(jìn)行分析,適用于DTMS-EEG研究精神疾病的思路。
[Abstract]:Mental illness has become a serious public health and social problem in China, but its diagnosis is still lack of quantitative standard. Using deep transcranial magnetic stimulation (DTMS) as a specific input to the brain and EEG signal as an output to obtain brain function is one of the effective methods for the detection and diagnosis of mental illness. EEG detection and analysis is the core technology in the diagnosis of mental illness. A multichannel DTMS-EEG wireless transmission detection method is proposed in this paper. Firstly, the multiplex AD converter is controlled by CPLD synchronously, and the system structure of multichannel synchronous transmission is realized. Secondly, through the three-stage hardware amplification, active, passive, high-order filter processing, the EEG signal is adjusted. Then, according to the characteristics of DTMS stimulation, the programmable amplifier and analog switch are added to control the DTMS stimulus signal by external trigger synchronously, and the programmable amplifier and analog switch are used to realize the special control of EEG signal on-line detection under the DTMS stimulation. Finally, the wireless transmission of multi-channel signals is realized by means of automatic bit selection data compression, and the data is uploaded to the host computer at the transmission receiving end for display and control. According to the characteristics of EEG signals, this paper combines the advantages of mutual information method and Lempel-Ziv complexity method, and proposes a new MILZC method, which takes acupuncture EEG data as an object to analyze the complexity of information exchange in different brain regions. By analyzing the six states of hand acupuncture in 8 subjects (before acupuncture, 50 times per minute, 100 times per minute, 150 times per minute, 200 times per minute, after acupuncture), The results showed that (1) MILZC increased during acupuncture. (2) the frequency of 100 times / minute and 150 times / min of acupuncture is more effective than that of 50 times / minute and 200 times / minute, (3) the response of the heterolateral hemisphere is obviously higher than that of the ipsilateral hemisphere. The above results show that the MILZC method can effectively reflect the change of the complexity of information exchange between the acupuncture and brain regions. The method can be directly applied to the analysis of other EEG data. The DTMS-EEG wireless transmission detection system designed in this paper has the characteristics of multi-channel synchronization, multi-channel transmission and EEG on-line detection under the stimulation of DTMS, which provides a new way of thinking for the diagnosis and treatment of mental illness. The proposed MILZC-EEG analysis method can be applied to the study of mental illness by DTMS-EEG from the point of view of brain functional network.
【學(xué)位授予單位】：天津大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2012
【分類號(hào)】：TN911.3;R318.6
本文編號(hào)：2301605
[Abstract]:Mental illness has become a serious public health and social problem in China, but its diagnosis is still lack of quantitative standard. Using deep transcranial magnetic stimulation (DTMS) as a specific input to the brain and EEG signal as an output to obtain brain function is one of the effective methods for the detection and diagnosis of mental illness. EEG detection and analysis is the core technology in the diagnosis of mental illness. A multichannel DTMS-EEG wireless transmission detection method is proposed in this paper. Firstly, the multiplex AD converter is controlled by CPLD synchronously, and the system structure of multichannel synchronous transmission is realized. Secondly, through the three-stage hardware amplification, active, passive, high-order filter processing, the EEG signal is adjusted. Then, according to the characteristics of DTMS stimulation, the programmable amplifier and analog switch are added to control the DTMS stimulus signal by external trigger synchronously, and the programmable amplifier and analog switch are used to realize the special control of EEG signal on-line detection under the DTMS stimulation. Finally, the wireless transmission of multi-channel signals is realized by means of automatic bit selection data compression, and the data is uploaded to the host computer at the transmission receiving end for display and control. According to the characteristics of EEG signals, this paper combines the advantages of mutual information method and Lempel-Ziv complexity method, and proposes a new MILZC method, which takes acupuncture EEG data as an object to analyze the complexity of information exchange in different brain regions. By analyzing the six states of hand acupuncture in 8 subjects (before acupuncture, 50 times per minute, 100 times per minute, 150 times per minute, 200 times per minute, after acupuncture), The results showed that (1) MILZC increased during acupuncture. (2) the frequency of 100 times / minute and 150 times / min of acupuncture is more effective than that of 50 times / minute and 200 times / minute, (3) the response of the heterolateral hemisphere is obviously higher than that of the ipsilateral hemisphere. The above results show that the MILZC method can effectively reflect the change of the complexity of information exchange between the acupuncture and brain regions. The method can be directly applied to the analysis of other EEG data. The DTMS-EEG wireless transmission detection system designed in this paper has the characteristics of multi-channel synchronization, multi-channel transmission and EEG on-line detection under the stimulation of DTMS, which provides a new way of thinking for the diagnosis and treatment of mental illness. The proposed MILZC-EEG analysis method can be applied to the study of mental illness by DTMS-EEG from the point of view of brain functional network.
【學(xué)位授予單位】：天津大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2012
【分類號(hào)】：TN911.3;R318.6
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