北京生物醫(yī)學(xué)工程

基于DCT的心電信號分類算法

Classification algorithm of ECG based on DCT

作者：盧潭城呂愿愿鄧永莉劉明亮陸起涌

單位：復(fù)旦大學(xué)電子工程系(上海200433)

分類號：R318.04;TP391.4

出版年·卷·期（頁碼）：2016·35·3（259-266）

摘要：

目的提高心電信號的分類準(zhǔn)確率，降低算法復(fù)雜度。方法首先以MIT-BIH心電數(shù)據(jù)作為學(xué)習(xí)模板，然后在心電信號的頻域和時域上提取其離散余弦變換(discrete cosine transform,DCT)、R-R間期和QRS復(fù)合波的三種特征值進行分析，最后采用最小歐式距離分類器判斷待測心電信號的類型。結(jié)果該分類模型通過MIT-BIH和AHA國際標(biāo)準(zhǔn)心電數(shù)據(jù)庫的驗證，分別得到96.6%和94.1%的分類準(zhǔn)確率。結(jié)論本文的心電分類模型區(qū)別于其他分類算法的一個最大特點就是算法復(fù)雜度低，這是異常心律能夠被實時檢測和預(yù)警的關(guān)鍵，而且建立的心電分類模型已經(jīng)能夠在普通的手機平臺上實現(xiàn)。

Objective To improve the classification accuracy of ECG and reduce the complexity of the algorithm.Methods This paper uses MIT-BIH ECG database as learning templates,then extracts its eigenvalues of DCT,R-R interval and QRS from frequency and time domain of ECG signals to analyze.Finally,the type of ECG signal is classified based on the minimum Euclidean distance classifier.Results The classification model is tested and verified by international standard MIT-BIH and AHA ECG database,with the classification accuracy of 96.6% and 94.1%,respectively.Conclusions Lower complexity in ECG classification model than other algorithm is the greatest feature,which is the key of detecting real-time abnormal heart rhythms.And ECG classification model has been realized on a common mobile platform.

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