An Intelligent Adaptive Noise Cancellation System for the Extraction of Fetal ElectroCardioGram

被引：0
|
作者：
Jatoth, Ravi Kumar [1 ]
Anoop, Saladi S. V. K. K. [1 ]
Prabhu, Ch Midhun [1 ]
机构：
[1] Natl Inst Technol Warangal, Dept Elect & Commun Engn, Warangal, Andhra Pradesh, India
来源：
PROCEEDINGS OF THE 8TH WSEAS INTERNATIONAL CONFERENCE ON RECENT ADVANCES IN SIGNAL PROCESSING, ROBOTICS AND AUTOMATION | 2009年
关键词：
Fetal ECG; Adaptive Noise Cancellation; Genetic Algorithm (GA); Particle Swarm Optimization (PSO);
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The continuous monitoring of fetal heart condition during pregnancy is of great medical importance. Electro Cardio Gram (ECG) is used to record changes in the heart, thus can diagnose any malfunctioning in the heart. The obtained fetal ECG (FECG) signal is severely contaminated by maternal cardiogram (MECG), power line interference, base line-wander etc. The low Signal to noise Ratio of fetal ECG makes it difficult to analyze it effectively. This paper describes the bio-medical application of adaptive noise cancelling techniques for filtering of the obtained noisy ECG using biologically inspired algorithms such as Genetic Algorithm (GA) and Particle Swarm Optimization (PSO).
引用
收藏
页码：193 / 197
页数：5
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