An Efficient Adaptive Filter for Fetal ECG Extraction Using Neural Network

Journal of Intelligent Systems

Kaleem Abdullah Mohammed¹  Kokate Rajendra D.² 

[1] Department of Electronics and Telecommunication Engineering, MPGI School of Engineering, Nanded, Maharashtra, India;Department of Instrumentation Engineering, Government College of Engineering, Jalgaon, Maharashtra, India;

关键词: fetal electrocardiogram;    heartbeat signal;    neural network;   

DOI  :  10.1515/jisys-2017-0031

来源: DOAJ

【 摘 要 】

Fetal electrocardiogram checking is a strategy for acquiring critical data about the state of the fetus during pregnancy and labor. This is done by measuring electrical signals created by the fetal heart as measured from multichannel potential recordings on the mother’s body surface. In any case, extraction of fetal signal is difficult because the signal is marred by the mother’s heartbeat signal. Subsequently, in this paper, a powerful versatile filtering strategy is utilized to eliminate the mother’s heartbeat signal with the specific end goal of extricating the fetal signal. The proposed procedure was executed in the working stage of MATLAB and the execution results were investigated.

【 授权许可】

Unknown