北京生物醫(yī)學(xué)工程

一種基于自相關(guān)和平均模差算法的胎兒心率提取方法

A developed FHR detection algorithm based on autocorrelation and CMDF method

作者：王群張志強(qiáng) 劉志文

單位：                      北京理工大學(xué)信息與電子學(xué)院（北京100081）        

關(guān)鍵詞：胎心率；多普勒超聲；自相關(guān)；累計(jì)平均標(biāo)準(zhǔn)模差

分類號：

出版年·卷·期（頁碼）：2014·33·6（598-602）

摘要：

目的胎兒心率是判斷孕期胎兒健康狀況的一項(xiàng)重要指標(biāo)，使用超聲多普勒測量胎心率是常用的無創(chuàng)方法。其中，自相關(guān)算法是常用的測量胎心率的算法，但是其抗噪性差，容易出錯(cuò)。方法本文提出一種基于自相關(guān)與平均標(biāo)準(zhǔn)模差相結(jié)合的新算法，先通過自相關(guān)函數(shù)突顯其周期性，然后用累計(jì)平均標(biāo)準(zhǔn)模差函數(shù)提取準(zhǔn)確周期，最后通過使用該算法處理模擬器數(shù)據(jù)和臨床數(shù)據(jù)，驗(yàn)證其精確度和抗噪性。結(jié)果相比滑動(dòng)窗算法，基于自相關(guān)和平均標(biāo)準(zhǔn)模差的算法具有更高的精確度和抗噪性。結(jié)論改進(jìn)后的算法可以有效計(jì)算出胎心率值。

Objective Doppler ultrasound monitors are commonly used to measure fetal heart rate (FHR) in routine screenings. One common method to acquire FHR is autocorrelation algorithm, yet it is more prone to noise and thus cannot get the accurate FHR sometimes. Methods We proposed a developed algorithm based on autocorrelation and cumulative mean normalized difference function (CMDF), along with a noise tolerant improvement using a mixture of synthetic and real fetal heart data in order to quantify its accuracy and robustness in the presence of the signal from an ultrasound probe. Results Our proposed approach achieved higher accuracy and robustness compared to the sliding window approach. Conclusions This developed algorithm can calculate accurate fetal heart rate effectively.

參考文獻(xiàn)：

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