Adaptive filtering in phase space for foetal electrocardiogram estimation from an abdominal electrocardiogram signal and a thoracic electrocardiogram signal

Wei, Zheng; Liu, Hongxing; Cheng, Jianchun

doi:10.1049/iet-spr.2010.0263

Cited by 20 publications

(8 citation statements)

References 17 publications

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“…The technique of phase space signal filtering [32][33] can be used to adaptively filter the foetal ECG as well. The reconstruction of the phase space trajectory with thoracic ECG signal and abdominal ECG taken from a pregnant women can be achieved using an adaptive filtering [34],where there is a time variant and non-linear relation between the maternal ECG signal and thoracic ECG signal. Adaptive local modeling in phase space is used to estimate the maternal ECG component which is present in the abdominal ECG signal.…”

Section: Phase Space Adaptive Filteringmentioning

confidence: 99%

A Review of Techniques for Foetal Electrocardiogram Extraction

Aggarwal¹,

Singh²

2016

CAE

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Electrocardiogram (ECG) holds high significance in medical diagnostics. Cardiologists consider it as an enduring tool and thus the improvement of the diagnostic quality the signal for various recognitions in different environments become a challenge. The signal acquisition is susceptible to the interference from physiological as well as environmental sources. Foetal ECG provides vital information to the physicist to assist in taking critical decisions especially during labor time. Since the direct contact over foetus is perilous to its health, foetal ECG acquisition becomes a challenging task. There is a time as well as frequency overlap of the stronger maternal ECG over the weak foetal ECG. Thus windowing and simple filtering does not extract these signals. This has encouraged various researchers to dwell deep into innovating such filtering techniques to make the acquired signal qualify for discrete diagnostics. This work focuses on the various algorithms proposed for the foetal extraction in terms of their capabilities and performances.

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Section: Phase Space Adaptive Filteringmentioning

confidence: 99%

A Review of Techniques for Foetal Electrocardiogram Extraction

Aggarwal¹,

Singh²

2016

CAE

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“…Wei Z., Hongxing L. and Jianchun C [3] proposed a novel adaptive filtering technique using the concept of phase space. In mathematics and physics, a "phase space", or "state space", is a space in which all possible states of a system can be represented.…”

Section: Anatomy and Features Of Fetal Heartmentioning

confidence: 99%

Comprehensive study on fetal ECG extraction

Rajesh

2014

2014 International Conference on Control, Instrumentation, Communication and Computational Technologies (ICCICCT)

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The most common type of defect with which babies are born is related to heart, nearly 1 out of every 100. A physician studies the electrical activity of the fetus's heart, by monitoring the fetal Electrocardiogram (fECG) collected at the time of pregnancy from mother's abdomen. Even though the signal acquisition and signal processing techniques has been made a great deal of progress, the extraction and analysis of Fetal ECG is still in its outset. Very low signal-to-noise ratio of the fetal ECG compared to the maternal ECG, is the biggest challenge faced by scientists working in this area. In this paper, we have reviewed a wide range of signal processing techniques for the extraction of fetal ECG, along with their shortcomings and advantages.

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“…Some signal processing methods have been used in FECG extraction, such as the adaptive filter [2,[7][8][9], event synchronous canceller (ESC) [10][11][12], singular value decomposition (SVD) [13,14], blind source separation (BSS) [15][16][17] and artificial neural network (ANN) [3,4,18]. Whereas BSS requires multiple leads to collect several electrocardiogram (ECG) signals [19].…”

Section: Introductionmentioning

confidence: 99%

Method of fetal electrocardiogram extraction based on ν ‐support vector regression

Han

Chen

2015

IET signal process.

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A new method based on v-support vector regression (v-SVR) is proposed to extract the fetal electrocardiogram (FECG) from the abdominal signal recorded at the abdominal areas of the pregnant woman. The maternal electrocardiogram (MECG) component in the abdominal signal is a non-linearly transformed version of the MECG and the non-linear transform is estimated by v-SVR. The optimal estimation of the MECG component is obtained by the MECG undergoing the estimated non-linear transform. Then the FECG is extracted by subtracting the estimated MECG component from the abdominal signal. The method is validated by the experiments on both synthetic and real electrocardiogram (ECG) signals. The visual results and signal-to-noise ratio (SNR) are used to evaluate the performance of the FECG extraction methods. The experimental results indicated that the proposed method can be used for extracting the FECG from the abdominal signal.

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Adaptive filtering in phase space for foetal electrocardiogram estimation from an abdominal electrocardiogram signal and a thoracic electrocardiogram signal

Cited by 20 publications

References 17 publications

A Review of Techniques for Foetal Electrocardiogram Extraction

A Review of Techniques for Foetal Electrocardiogram Extraction

Comprehensive study on fetal ECG extraction

Method of fetal electrocardiogram extraction based on ν ‐support vector regression

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