本文選題：血壓 + 示波法　； 參考：《浙江大學(xué)》2015年碩士論文

【摘要】：近年來(lái)隨著移動(dòng)醫(yī)療技術(shù)的興起,穿戴式生理參數(shù)監(jiān)測(cè)設(shè)備作為移動(dòng)醫(yī)療技術(shù)重要的信息資源接入終端之一正逐漸成為研究熱點(diǎn)。穿戴式生理參數(shù)檢測(cè)技術(shù)的一個(gè)重要內(nèi)容就是抗運(yùn)動(dòng)干擾技術(shù)的研究,而抗運(yùn)動(dòng)干擾一直以來(lái)也是穿戴式醫(yī)療設(shè)備應(yīng)用的一個(gè)重要難點(diǎn)。血壓是人體重要的生理參數(shù)之一,如何通過(guò)抗運(yùn)動(dòng)干擾技術(shù)的研究提高血壓的測(cè)量精度,進(jìn)而發(fā)展穿戴式血壓監(jiān)測(cè)技術(shù)具有十分重要的應(yīng)用價(jià)值。本文完成的工作主要如下：(1)完成了基于MSP430FG4618微處理器、集成MEMS加速度傳感器LIS3DH及無(wú)創(chuàng)血壓檢測(cè)儀的硬件系統(tǒng)設(shè)計(jì),可實(shí)時(shí)采集脈搏波信號(hào)和運(yùn)動(dòng)加速度信號(hào)。(2)研究了現(xiàn)有無(wú)創(chuàng)血壓測(cè)量算法,提出基于高斯擬合聯(lián)合差分比值的無(wú)創(chuàng)血壓測(cè)量改進(jìn)算法,并將算法植入到微處理器中進(jìn)行了測(cè)試,通過(guò)大量的實(shí)驗(yàn)驗(yàn)證了算法的有效性。(3)設(shè)計(jì)了一種將袖帶與測(cè)量?jī)x器集成一體的無(wú)創(chuàng)血壓測(cè)量抗運(yùn)動(dòng)干擾系統(tǒng),研究了將血壓測(cè)量中運(yùn)動(dòng)的加速度信號(hào)作為參考信號(hào)來(lái)消減脈搏波信號(hào)中運(yùn)動(dòng)干擾信號(hào)的自適應(yīng)濾波器及相關(guān)算法。實(shí)驗(yàn)結(jié)果表明該系統(tǒng)和算法對(duì)存在手臂局部運(yùn)動(dòng)的血壓測(cè)量具有較好的抗運(yùn)動(dòng)干擾作用。該方法對(duì)其他人體生理參數(shù)的抗運(yùn)動(dòng)干擾檢測(cè)具有普遍意義。
[Abstract]:In recent years, with the rise of mobile medical technology, wearable physiological parameter monitoring equipment as one of the important information resource access terminals of mobile medical technology is becoming a research hotspot. One of the important contents of wearable physiological parameter detection technology is the research of anti-motion interference technology, which has always been an important difficulty in the application of wearable medical equipment. Blood pressure is one of the important physiological parameters of human body. How to improve the accuracy of blood pressure measurement through the research of anti-exercise interference technology and then develop wearable blood pressure monitoring technology has very important application value. The main works of this paper are as follows: (1) the hardware system of MEMS acceleration sensor LIS3DH and non-invasive blood pressure detector is designed based on MSP430FG4618 microprocessor. Pulse wave signals and motion acceleration signals can be collected in real time. (2) the existing non-invasive blood pressure measurement algorithms are studied. An improved non-invasive blood pressure measurement algorithm based on Gao Si fitting and differential ratio is proposed, and the algorithm is implanted into the microprocessor for testing. A large number of experiments have proved the effectiveness of the algorithm. (3) A non-invasive anti-motion interference system for blood pressure measurement is designed, which integrates the cuff band and the measuring instrument. In this paper, the adaptive filter and its correlation algorithm are studied, in which the acceleration signal in the blood pressure measurement is used as the reference signal to reduce the motion interference signal in the pulse wave signal. Experimental results show that the system and algorithm have a good anti-movement interference effect on blood pressure measurement with local arm motion. This method is of general significance for the detection of other human physiological parameters against motion interference.
【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】：2015
【分類號(hào)】：TP274;R443.5

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