FIR Cutoff Frequency Calculating for ECG Signal Noise Removing Using Artificial Neural Network

被引：0
|
作者：
Moein, Sara [1 ]
机构：
[1] Islamic Azad Univ, Najafabad Branch, Dept Comp Engn, Najafabad, Esfahan, Iran
来源：
ADVANCES IN SWARM INTELLIGENCE, PT 2, PROCEEDINGS | 2010年 / 6146卷
关键词：
Finite Impulse Response (FIR); Cutoff frequency; Dataset; Multilayer Percecptron;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, an automated approach for electrocardiogram (ECG) signal noise removing using artificial neural network is investigated. First, 150 of noisy heart signal are collected form MIT-BIH database. Then signals are transformed to frequency domain and cutoff frequency is calculated. Since heart signals are lowpass frequency, a Finite Impulse Response (FIR) filter is adequate to remove the noise. In the next step, a damsel is configured for a multilayer perceptron (MLP) training with feedforward algorithm. Finally, the MLP is trained and results of cutoff frequency calculation are shown.
引用
收藏
页码：124 / 131
页数：8
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