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Description: 四篇关于胎儿心电信号提取的英文文献 ICA算法 很好-fetal ECG sepration based on ICA
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Size: 1114112 |
Author: 于海兰 |
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Description: 有关于胎儿心电信号提取算法研究 .rar-suanfa
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Size: 244736 |
Author: clwclwclw |
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Description: fecg extraction from aecg using adaptive filtering
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Size: 318464 |
Author: mohamed |
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Description: 预处理,对于胎儿心电的原信号预处理 包括白化和中心化 帮助进行下一步的处理-Pretreatment of fecg
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Size: 4924416 |
Author: 王欣 |
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Description: 胎儿心电相关的论文，单道胎儿心电记录仪的研究、基于matlab的胎儿心电提取等-article on FECG
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Size: 997376 |
Author: zhangroach |
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Description: 用于胎儿心电采集电路的代码，arm7，串口通信-code for attain of fecg，Using uart to transfer the data
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Size: 909312 |
Author: zhangroach |
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Description: 用于胎儿心电采集电路的代码，arm7，usb通信-code for attain of fecg,using lpc2368,usb transfer.
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Size: 287744 |
Author: zhangroach |
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Description: 一本关于在小波域胎儿心电信号提取的论文，具有很好的参考价值。-A paper in the wavelet domain fetal ECG extraction, with a good reference value.
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Size: 587776 |
Author: 许风 |
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Description: 基于RBF、BP、ANFIS人工神经网络的胎儿心电信号提取MATLAB源代码-MATLAB codes of Extraction of FECG signal based on RBF and BP and ANFIS Neural Network
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Size: 49152 |
Author: 陈晓君 |
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Description: fetal ecg detection using matlab
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Size: 26624 |
Author: swetha abraham |
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Description: this a alguritm to have synthetic FECG and MECG.u can chnge parameter to have diffrent fECG-this is a alguritm to have synthetic FECG and MECG.u can chnge parameter to have diffrent fECG
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Size: 2048 |
Author: nafiseh |
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Description: This letter addresses the problem of fetal electrocardiogram (FECG) extraction. A
class of source extraction algorithms is proposed, which uses a combination of two
di® erent approaches: Barros s source extraction approach and HyvÄ arinen s ˉxed-
point approach.
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Size: 358400 |
Author: muthupandi |
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Description: 胎儿心电信号提取，用贝叶斯方法，和神经网络接近。很详细！-FECG Extraction Using Bayesian Inference and Neural Networks Approximation
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Size: 242688 |
Author: caibanggui |
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Description: An electrocardiogram (ECG) records the electrical activity of the heart. The heart
produces tiny electrical impulses which spread through the heart muscle to make the
heart contract. These impulses can be detected by the ECG machine. Electronic fetal
ECG monitoring is a technique of obtaining important information about the condition of
the fetus during pregnancy, by measuring the electrical signals generated by the fetal
heart as measured multi-channel electrodes placed on the mother’s body surface.
Fetal ECG (FECG) monitoring enables accurate measurement of fetal cardiac
performance including transient or permanent abnormalities of rhythm. During labor and
delivery, the heartbeat of the baby is monitored in order to make sure that enough blood
flow and oxygen are getting through to the unborn fetus.
-An electrocardiogram (ECG) records the electrical activity of the heart. The heart
produces tiny electrical impulses which spread through the heart muscle to make the
heart contract. These impulses can be detected by the ECG machine. Electronic fetal
ECG monitoring is a technique of obtaining important information about the condition of
the fetus during pregnancy, by measuring the electrical signals generated by the fetal
heart as measured multi-channel electrodes placed on the mother’s body surface.
Fetal ECG (FECG) monitoring enables accurate measurement of fetal cardiac
performance including transient or permanent abnormalities of rhythm. During labor and
delivery, the heartbeat of the baby is monitored in order to make sure that enough blood
flow and oxygen are getting through to the unborn fetus.
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Size: 23552 |
Author: bala |
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Description: fetal ecg extraction using filter
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Size: 10240 |
Author: alavanthar |
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Description: The study presents a method to separate the fetal electrocardiograph(FECG) from
concomitant maternal electrocardiograph (MECG) by using Fast Independent component
analysis(ICA) algorithm of Blind Signal Separation. Current methods of extracting fetal ECG have
defects and drawbacks. Traditional ICA method has a persistent problem that the signal of FECG
extracted MECG was always mixed with the signal of MECG in diverse levels, and the order
of MECG and FECG-The study presents a method to separate the fetal electrocardiograph(FECG) from
concomitant maternal electrocardiograph (MECG) by using Fast Independent component
analysis(ICA) algorithm of Blind Signal Separation. Current methods of extracting fetal ECG have
defects and drawbacks. Traditional ICA method has a persistent problem that the signal of FECG
extracted MECG was always mixed with the signal of MECG in diverse levels, and the order
of MECG and FECG
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Size: 1118208 |
Author: RAJA |
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Description: This article is intended to be used by researchers a practical guide to
NI-FECG signal processing, in the context of the above issues. It reviews
recent advances in NI-FECG research including: publicly available
databases, NI-FECG extraction techniques for foetal heart rate uation
and morphological analysis, NI-FECG simulators and the methodology
and statistics for assessing the performance of the extraction algorithms.
Reference to the most recent work is given-This article is intended to be used by researchers as a practical guide to
NI-FECG signal processing, in the context of the above issues. It reviews
recent advances in NI-FECG research including: publicly available
databases, NI-FECG extraction techniques for foetal heart rate uation
and morphological analysis, NI-FECG simulators and the methodology
and statistics for assessing the performance of the extraction algorithms.
Reference to the most recent work is given
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Size: 923648 |
Author: RAJA |
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Description: recent findings are highlighted
in the form of intermediate summaries, references to open source code and
publicly available s are provided and promising directions for future
research are motivated. In particular we emphasise the need and specifications
for building a new open reference of NI-FECG signals, and the need
for new algorithms to be benchmarked on the same , employing
the same uation statistics.-recent findings are highlighted
in the form of intermediate summaries, references to open source code and
publicly available s are provided and promising directions for future
research are motivated. In particular we emphasise the need and specifications
for building a new open reference of NI-FECG signals, and the need
for new algorithms to be benchmarked on the same , employing
the same uation statistics.
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Size: 1149952 |
Author: RAJA |
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Description: The fetal monitoring in parturient period is directly related to the safety of pregnant women and
fetuses. Fetal electrocardiogram (FECG) is an objective indicator as a reflection of intrauterine
physiological activities. The ECG signals of maternal and infants are collected through the
electrodes putted in the surface of pregnant women body, and the part of FECG can be extracted by
using the separation technology.
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Size: 908288 |
Author: RAJA |
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Description: 这是一篇论文中实验部分的源代码，希望对学习压缩感知的同学有帮助(The experimental part of the source code,Article title is Compressed Sensing for Energy-Efficient Wireless Telemonitoring of Noninvasive Fetal ECG Via Block Sparse Bayesian Learning.)
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Size: 6376448 |
Author: Antony-Wu
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