Method of fetal electrocardiogram extraction based on
            <i>ν</i>
            ‐support vector regression

Han, Liang; Pu, Xiaorong; Chen, Xiaojun

doi:10.1049/iet-spr.2013.0201

Cited by 16 publications

(11 citation statements)

References 31 publications

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“…Dissipation results through conduction, relaxation, and resonance mechanisms, i.e., both conductive and dielectric losses contribute to the heat. However, in the case of 4 Reflection Loss of r-GO in comparison to graphite [18]. Copyright 2011.…”

Section: Effective Microwave Absorptionmentioning

confidence: 94%

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Graphene/Polymer Nanocomposites as Microwave Absorbers

Srikanth

Raju

2015

Graphene-Based Polymer Nanocomposites in Electronics

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A major application identified for graphene/polymer nanocomposites is as electromagnetic (EM) wave absorbers in high frequency electronics which is the backbone of present day communication systems. In this application area, thin and flexible absorbers are essential for ensuring electromagnetic interference (EMI)/EM compatibility standards. Presently, communication modes are primarily mobile in nature and inherently light weight and small in size. In this context, there is a great demand for high performance novel absorbing materials that can offer required solutions. The properties of graphene-filled polymer nanocomposites clearly make them outstanding candidates for microwave absorption. Graphene as a filler is quite unique as it offers the highest surface-to-volume ratio and hence once it is incorporated inside a polymer matrix it offers increased conductive and dielectric loss without a large increase in impedance mismatch. It is possible to disperse graphene in some polymers uniformly and hence their large surface-to-volume ratio becomes advantageous. Once they are well dispersed in the host, the composite can be imagined as a kind of distributed capacitors combining in series and parallel resulting in reduced capacitance but increased dissipation, yielding impedance-matched absorber. Graphene can be functionalized with various functional groups giving an additional degree of freedom to fine-tune its properties. This in turn increases the flexibility in designing novel graphene-based materials. For an absorber, not only its EM response but its mechanical, adhesive, and weatherability characteristics are also important. Since meeting the EM absorption requirement over a range of frequencies by a single material is difficult, the possibility of functionalization of graphene opens up many opportunities and hence graphene/polymer nanocomposites open up scope for a wide

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Section: Effective Microwave Absorptionmentioning

confidence: 94%

“…Eventually, the wave will reach the other side of the absorber and reflect. The total reflection is then derived from the sum of the reflected waves [4].…”

Section: Reflection and Transmission Of Waves At A Materials Boundarymentioning

confidence: 99%

Graphene/Polymer Nanocomposites as Microwave Absorbers

Srikanth

Raju

2015

Graphene-Based Polymer Nanocomposites in Electronics

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“…A focal point is distinguishing diminished oxygen supply to the fetus, to allow early obstetric intervention to prevent fetal disorders or even mortality [3]. The fECG is utilized for detecting fetal cardiovascular recurrence and in predicting fetal acidosis [5]. However, fECG signals and different obstructions and artifacts are not generally stationarily blended and straightly divisible [14].…”

Section: Introductionmentioning

confidence: 99%

An Efficient Adaptive Filter for Fetal ECG Extraction Using Neural Network

Kaleem¹,

Kokate²

2019

Journal of Intelligent Systems

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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.

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“…The extraction performance is good only when there are more number of electrodes involved (5 atleast), which is practically difficult during labor it's impossible. The nonlinear dependency of maternal ECG on abdominal ECG is utilized for the estimation of V-SVR (Liang Han et al (2015)) [9]. The estimated maternal component is subtracted from the abdominal ECG to get the fetal ECG.…”

Section: Introductionmentioning

confidence: 99%

Utility Based Portfolio Optimization through Integer Programming Under Stochastic Markets

Arif H*.,

Pakkala

2019

IJRTE

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During labor ECG Monitoring is one of the most used method to determine the condition of the fetus. The type of monitoring varies from patients to patients. Few require continuous monitoring because of medication while others require only intermittent monitoring. The fetal ECG is the only information source in early stage diagnosis of fetal health and status. This paper describes the implementation of a system based on FPGA which denoises the abdominal ECG and separates the Fetal ECG from the abdominal signal. For preprocessing a VLSI hardware in FPGA for wavelet transform method is designed and implemented. The embedded architecture on FPGA is based on quadrature spline wavelet transform. FPGA implementation of quadrature spline wavelet transform filter was done with different multipliers. The extraction of fetal electrocardiogram signal was done using slope threshold and two stage template search method where the fetal ECG is extracted from the abdominal ECG. The logical elements, power and delay for the proposed architecture is reported in this paper. For implementation Cyclone II kit and Quartus software was used. In future the classification method will be implemented.

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

Cited by 16 publications

References 31 publications

Graphene/Polymer Nanocomposites as Microwave Absorbers

Graphene/Polymer Nanocomposites as Microwave Absorbers

An Efficient Adaptive Filter for Fetal ECG Extraction Using Neural Network

Utility Based Portfolio Optimization through Integer Programming Under Stochastic Markets

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