本文關(guān)鍵詞：面向腦狀態(tài)監(jiān)測(cè)的腦電與腦氧信號(hào)采集系統(tǒng)　出處：《浙江大學(xué)》2017年碩士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： 腦電 腦功能監(jiān)護(hù) 組織血氧飽和度 近紅外光譜技術(shù) ADS1299

【摘要】：大腦是人體最重要的部位,幾乎人體所有的活動(dòng)都與大腦有密切相關(guān)的聯(lián)系。對(duì)大腦健康狀態(tài)的檢測(cè)一直是人們研究的重點(diǎn),現(xiàn)如今有許多檢測(cè)技術(shù)可應(yīng)用于大腦相關(guān)疾病的檢測(cè)。其中腦電圖(EEG)和近紅外光譜技術(shù)(NIRS)具有良好的時(shí)間分辨率,已經(jīng)被廣泛的應(yīng)用于大腦健康狀態(tài)監(jiān)護(hù)領(lǐng)域。腦電是由大腦神經(jīng)活動(dòng)的電信號(hào)產(chǎn)生的,可以反映大腦神經(jīng)活動(dòng)和相關(guān)代謝信息,而近紅外光譜技術(shù)(NIRS)可以檢測(cè)組織的血液相關(guān)參數(shù),可以對(duì)大腦的血液活動(dòng)或代謝狀態(tài)進(jìn)行有效評(píng)估。采用兩種檢測(cè)技術(shù)共同對(duì)大腦健康狀態(tài)信息進(jìn)行檢測(cè),將腦電圖與血液相關(guān)參數(shù)所包含的信息相結(jié)合,可以完成對(duì)大腦健康更加全面的監(jiān)護(hù)。本文基于腦電圖和近紅外光譜檢測(cè)技術(shù),完成腦電和腦氧信號(hào)采集系統(tǒng)的初步研發(fā),采用雙通道腦電和單通道腦氧信號(hào)的采集的方案,檢測(cè)的部位主要是人腦前額腦區(qū)部位。本文首先介紹了大腦狀態(tài)檢測(cè)技術(shù)的研究現(xiàn)狀和發(fā)展,特別是近年來(lái)出現(xiàn)的多種腦狀態(tài)檢測(cè)技術(shù)相結(jié)合的研究。然后介紹了腦電信號(hào)檢測(cè)技術(shù)和近紅外光譜技術(shù)的基本原理,并對(duì)系統(tǒng)的采集方案和校準(zhǔn)原理加以說(shuō)明。腦電信號(hào)采集模塊是基于TI公司的ADS1299進(jìn)行設(shè)計(jì)的,在ADS1299前端加入濾波電路和保護(hù)電路等預(yù)處理電路以保證電路的安全。腦氧信號(hào)采集模塊采用雙波長(zhǎng)、雙光電探測(cè)器的設(shè)計(jì)方案,采用LED發(fā)光二極管作為光源,采用微處理器STM32對(duì)腦氧信號(hào)進(jìn)行采樣并控制LED驅(qū)動(dòng)電路調(diào)節(jié)電流大小。本文對(duì)系統(tǒng)進(jìn)行了性能測(cè)試和系統(tǒng)參數(shù)的測(cè)量,采用標(biāo)準(zhǔn)腦電信號(hào)作為信號(hào)源對(duì)腦電采集系統(tǒng)的性能進(jìn)行了驗(yàn)證,采用積分球原理對(duì)腦氧采集系統(tǒng)進(jìn)行了校準(zhǔn)實(shí)驗(yàn),并對(duì)人體進(jìn)行實(shí)際測(cè)量實(shí)驗(yàn)。系統(tǒng)的實(shí)驗(yàn)結(jié)果達(dá)到了較好的效果,初步確定此系統(tǒng)的可靠性和實(shí)用性。
[Abstract]:The brain is the most important part of the human body, almost all human activities are closely related to the brain. The detection of brain health status has been the focus of research. Nowadays, many detection techniques can be used in the detection of brain related diseases. Among them, electroencephalogram (EEG) and near infrared spectroscopy (NIR) have good time resolution. It has been widely used in the field of brain health monitoring. EEG is generated by electrical signals of brain nerve activity, which can reflect the brain nerve activity and related metabolic information. Near infrared spectroscopy (NIR) can be used to detect the blood parameters of tissues. It can effectively evaluate the blood activity or metabolic state of the brain. Two kinds of detection techniques are used to detect the information of the brain health state together, and the EEG is combined with the information contained in the blood related parameters. This paper based on EEG and near infrared spectrum detection technology to complete EEG and EEG and EEG signal acquisition system preliminary development. This paper introduces the research status and development of brain state detection technology, which is mainly located in the prefrontal region of human brain by the method of two channel EEG and single channel cerebral oxygen signal acquisition. Especially in recent years a variety of brain state detection technology combined research. Then the basic principles of EEG detection technology and near-infrared spectroscopy technology are introduced. The acquisition scheme and calibration principle of the system are explained. The EEG acquisition module is designed based on TI's ADS1299. Pre-processing circuits such as filter circuit and protection circuit are added to the front end of ADS1299 to ensure the safety of the circuit. The design of dual-wavelength and dual-photodetector is used in the module of cerebral oxygen signal acquisition. The LED light-emitting diode is used as the light source. The microprocessor STM32 is used to sample the cerebral oxygen signal and to control the current size of the LED drive circuit. The performance of the system and the measurement of the system parameters are tested in this paper. The performance of the EEG acquisition system is verified by using the standard EEG signal as the signal source, and the calibration experiment of the EEG acquisition system is carried out by using the integral sphere principle. The experimental results of the system are satisfactory, and the reliability and practicability of the system are preliminarily determined.
【學(xué)位授予單位】：浙江大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TP274.2;R318

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本文編號(hào)：1416486