本文關(guān)鍵詞： 動態(tài)心電圖 心電監(jiān)護(hù) 房顫 QRST消除 ESN　出處：《河北大學(xué)》2017年碩士論文　論文類型：學(xué)位論文

【摘要】：房顫作為最常見的老齡化疾病之一,發(fā)病率逐年增長,目前由于難以有效地跟蹤房顫的狀態(tài)變化,致使房顫的診斷準(zhǔn)確率較低,治療的效率和效果不理想。而隨著遠(yuǎn)程心電監(jiān)護(hù)系統(tǒng)的發(fā)展,醫(yī)療設(shè)備的小型化、便捷化,單導(dǎo)聯(lián)的心電監(jiān)護(hù)系統(tǒng)實(shí)現(xiàn)了更多應(yīng)用,而利用遠(yuǎn)程心電監(jiān)護(hù)系統(tǒng)監(jiān)測到的心電圖屬于動態(tài)心電圖,因此,研究適用于單導(dǎo)聯(lián)動態(tài)心電信號的QRST波(由心室電活動產(chǎn)生)的消除方法有著非常重要的意義。本文的主要研究內(nèi)容如下:(1)將ESN應(yīng)用于單導(dǎo)聯(lián)動態(tài)心電信號的QRST消除。在基于ESN的兩導(dǎo)聯(lián)心電信號的QRST消除方法(ESNTL)的基礎(chǔ)上進(jìn)行改進(jìn),將其用兩導(dǎo)聯(lián)心電信號消除QRST的方法改成用單導(dǎo)聯(lián)心電信號消除QRST,并給ESN增加一路標(biāo)記了R波位置的輸入信號,使網(wǎng)絡(luò)能夠更準(zhǔn)確的找到QRST的位置,提高了網(wǎng)絡(luò)預(yù)測QRST的能力,增強(qiáng)了QRST消除的效果。(2)針對QRST消除問題,用微分進(jìn)化算法和二進(jìn)制粒子群算法對ESN的參數(shù)進(jìn)行優(yōu)化。采用微分進(jìn)化算法對ESN的儲備池參數(shù)進(jìn)行優(yōu)化,找到了一組比較合適的儲備池參數(shù),然后用二進(jìn)制粒子群算法對ESN的輸出層連接進(jìn)行優(yōu)化,簡化了網(wǎng)絡(luò),提高了網(wǎng)絡(luò)的性能,最后用優(yōu)化的網(wǎng)絡(luò)進(jìn)行QRST預(yù)測,用房顫信號減去QRST,完成QRST消除。(3)將本文提出的方法應(yīng)用于本實(shí)驗(yàn)室自主研發(fā)的心電監(jiān)護(hù)服務(wù)平臺中。通過對實(shí)際采集的心電信號進(jìn)行QRST消除,驗(yàn)證本文提出方法的可行性。分別采用MIT-BIH數(shù)據(jù)庫中的數(shù)據(jù)和本實(shí)驗(yàn)室采集的數(shù)據(jù)對本文方法進(jìn)行可行性驗(yàn)證,實(shí)驗(yàn)結(jié)果表明本文提出的方法具有良好的QRST消除能力。
[Abstract]:As one of the most common aging diseases, the incidence of atrial fibrillation (AF) is increasing year by year. At present, it is difficult to track the state of AF effectively, which leads to the low diagnostic accuracy of AF. With the development of remote ECG monitoring system, the miniaturization of medical equipment and the convenience of treatment, the single-lead ECG monitoring system has realized more applications. The electrocardiogram monitored by the remote ECG monitoring system is a dynamic electrocardiogram, so, It is of great significance to study the elimination method of QRST wave (generated by ventricular electrical activity) suitable for single lead dynamic ECG signal. The main contents of this paper are as follows: 1) ESN is applied to QRST of single lead dynamic ECG signal. Based on the QRST elimination method of two-lead ECG signal based on ESN, The method of eliminating QRST by two-lead ECG signal is changed to that of single-lead ECG signal, and the input signal of R-wave position is added to ESN, so that the network can find the position of QRST more accurately and improve the ability of network to predict QRST. In order to solve the problem of QRST elimination, the differential evolution algorithm and binary particle swarm optimization algorithm are used to optimize the parameters of ESN. The differential evolution algorithm is used to optimize the parameters of ESN reserve pool. A set of suitable reserve pool parameters is found, and then the output layer connection of ESN is optimized by using binary particle swarm optimization algorithm, which simplifies the network and improves the performance of the network. Finally, the optimized network is used to predict the QRST. Using atrial fibrillation signal subtract QRST to complete QRST elimination. 3) the method proposed in this paper is applied to the ECG monitoring service platform developed independently by our laboratory. The QRST elimination of the actual ECG signal is carried out. The feasibility of the proposed method is verified by using the data in the MIT-BIH database and the data collected in our laboratory. The experimental results show that the proposed method has a good capability of QRST elimination.
【學(xué)位授予單位】：河北大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：R541.75;TN911.7

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本文編號：1545423