基于脈搏、心電和阻抗信息的動脈硬化識別的研究
發(fā)布時間:2018-05-06 04:31
本文選題:脈搏 + 心電。 參考:《內(nèi)蒙古大學(xué)》2016年碩士論文
【摘要】:如今動脈硬化是一種很普遍的疾病,它已經(jīng)成為人類健康的一個主要威脅,引起了全社會的關(guān)注。動脈硬化病變早期可能沒有明顯的癥狀,但其生理參數(shù)實際上發(fā)生了改變,一旦出現(xiàn)癥狀,一般都很難治愈,死亡率很高,因此對動脈硬化的早期檢測和干預(yù)變得非常重要。眾所周知動脈硬化與血管狀態(tài)是相關(guān)的,從這點(diǎn)上來看,可以轉(zhuǎn)換為評估血管狀態(tài)來判斷動脈硬化,人體的生理參數(shù)包含了許多生理和病理信息。本課題利用脈搏、心電和阻抗信號與動脈硬化問的關(guān)系,采集了這三路信號并對進(jìn)行其處理,然后分別提取了和動脈硬化相關(guān)的特征參數(shù),反映血管狀態(tài)。本文提取了脈搏、心電和阻抗信號的多個特征參數(shù),代替了傳統(tǒng)的依靠單一生理參數(shù)檢測動脈硬化,通過綜合分析,初步識別動脈硬化。本論文完成的主要工作如下:(1)通過采集卡完成了對脈搏、心電和阻抗信號的采集;(2)完成了用戶登錄和數(shù)據(jù)庫管理功能;(3)實現(xiàn)了對這些生理信號的顯示、保存、回放;(4)完成了脈搏、心電和阻抗信號的預(yù)處理,提取了各自與動脈硬化相關(guān)的特征值;(5)利用Fuzzy ISODATA算法綜合分析這些生理參數(shù)的特征值,實現(xiàn)了對動脈硬化的初步識別。
[Abstract]:Nowadays, arteriosclerosis is a very common disease, it has become a major threat to human health, has attracted the attention of the whole society. There may be no obvious symptoms in the early stage of arteriosclerosis, but its physiological parameters have actually changed. Once the symptoms appear, it is difficult to cure and the death rate is very high, so it is very important to detect and intervene in the early stage of arteriosclerosis. It is well known that arteriosclerosis is related to vascular state. From this point of view, it can be transformed into evaluating vascular state to judge arteriosclerosis. The physiological parameters of human body contain a lot of physiological and pathological information. Based on the relationship between pulse, ECG and impedance signals and arteriosclerosis, these three signals were collected and processed, and then the characteristic parameters related to arteriosclerosis were extracted to reflect the blood vessel state. In this paper, several characteristic parameters of pulse, ECG and impedance signal are extracted, instead of traditional single physiological parameters to detect arteriosclerosis, and the arteriosclerosis is preliminarily identified by comprehensive analysis. The main work of this paper is as follows: (1) the collection of pulse, ECG and impedance signals is completed by the acquisition card. (2) the user login and database management functions are completed; (3) the display and preservation of these physiological signals are realized. The pretreatment of pulse, ECG and impedance signals was completed, and the respective eigenvalues related to arteriosclerosis were extracted. (5) the characteristic values of these physiological parameters were synthetically analyzed by Fuzzy ISODATA algorithm, and the primary recognition of arteriosclerosis was realized.
【學(xué)位授予單位】:內(nèi)蒙古大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2016
【分類號】:R543.5;TN911.7
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