本文關(guān)鍵詞： 心電信號 微小型嵌入式系統(tǒng) 二階微分方程 龍格庫塔 仿射變換 濾波　出處：《哈爾濱工程大學學報》2017年05期 　論文類型：期刊論文

【摘要】：由于微小型嵌入式系統(tǒng)尺寸和計算能力的限制,在對生命體征信號進行檢查時,往往較難實現(xiàn)實時與精確兼顧。為了解決該問題,本文提出了一種基于二階微分方程與仿射變換理論結(jié)合的心電信號濾波算法(ATSDEF),并進行了與粒子濾波方法的濾波性能對比實驗,證明了ATSDEF方法有較粒子濾波更好的濾波性能。通過微小型嵌入式心電測量系統(tǒng)對正常與異常心電信號進行在線濾波實驗,驗證了該算法可以有效的濾除心電信號的噪聲,且能夠保持心電信號中較為微弱的細節(jié)特征,從而保證了信號濾波后的精度,解決了微小型嵌入式系統(tǒng)的實時信號處理難題。
[Abstract]:In order to solve this problem, it is difficult to realize real-time and accurate examination of vital sign signal because of the limitation of size and computing ability of micro-embedded system. In this paper, a ECG filtering algorithm based on second order differential equation and affine transform theory is proposed. It is proved that the ATSDEF method has better filtering performance than particle filter. The on-line filtering experiments of normal and abnormal ECG signals are carried out through a micro embedded ECG measurement system. It is verified that the algorithm can effectively filter the noise of ECG signal and keep the weak detail feature of ECG signal, thus ensuring the accuracy of the filtered signal. The real-time signal processing problem of micro-embedded system is solved.
【作者單位】： 哈爾濱工業(yè)大學機器人技術(shù)與系統(tǒng)國家重點實驗室;
【基金】：國家自然基金項目(61375097;61473105) 黑龍江省自然基金項目(F2015008) 機器人技術(shù)與系統(tǒng)國家重點實驗室基金項目(SKLRS201620B;SKLRS201603C)
【分類號】：TN713;TN911.7
【正文快照】： 網(wǎng)絡(luò)出版地址:http://www.cnki.net/kcms/detail/23.1390.u.20170426.1237.056.html生命特征信號是一種不穩(wěn)定、非線性且具有概率性的信號,因此對于人體疾病監(jiān)測來說,盡可能地準確濾除噪聲對提取生命體征信號特征以及心臟疾病診斷顯得尤為重要。特別是在人體自身以及外界隨機，

本文編號：1461143