Investigation of Adaptive Filtering for Noise Cancellation inECG signals

Behbahani, Soroor

doi:10.1109/imsccs.2007.4392593

Cited by 4 publications

(3 citation statements)

References 7 publications

(8 reference statements)

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“…In clinical applications, signals are commonly contaminated by artefacts, such as a drift and interference caused by several bioelectric phenomena, or by intrinsic noise from the recorder or noise from electrode-skin contact [ 32 ]. If a turbulence could cause SampEn to change dramatically, the determination to distinguish CHF subjects from NSR subjects might lead to a wrong diagnosis.…”

Section: Data and Experimentsmentioning

confidence: 99%

A New Physically Meaningful Threshold of Sample Entropy for Detecting Cardiovascular Diseases

Xiong

Liang

Zhu

et al. 2019

Entropy

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Sample Entropy (SampEn) is a popular method for assessing the regularity of physiological signals. Prior to the entropy calculation, certain common parameters need to be initialized: Embedding dimension m, tolerance threshold r and time series length N. Nevertheless, the determination of these parameters is usually based on expert experience. Improper assignments of these parameters tend to bring invalid values, inconsistency and low statistical significance in entropy calculation. In this study, we proposed a new tolerance threshold with physical meaning (rp), which was based on the sampling resolution of physiological signals. Statistical significance, percentage of invalid entropy values and ROC curve were used to evaluate the proposed rp against the traditional threshold (rt). Normal sinus rhythm (NSR), congestive heart failure (CHF) as well as atrial fibrillation (AF) RR interval recordings from Physionet were used as the test data. The results demonstrated that the proposed rp had better stability than rt, hence more adaptive to detect cardiovascular diseases of CHF and AF.

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Section: Data and Experimentsmentioning

confidence: 99%

A New Physically Meaningful Threshold of Sample Entropy for Detecting Cardiovascular Diseases

Xiong

Liang

Zhu

et al. 2019

Entropy

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“…In particular, the design of an adaptive filter with a dynamic structure for ECG signal conditioning [6]. ECG denoising using adaptive filter algorithms has also been pursued by prior works [7].…”

Section: Introductionmentioning

confidence: 99%

Effect of adaptive line enhancement filters on noise cancellation in ECG signals

Karraz

2021

Serb J Electr Eng

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Power line interference is the main noise source that contaminates Electrocardiogram (ECG) signals and measurements. In recent years, adaptive filters with different approaches have been investigated to eliminate power line interference in ECG waveforms. Adaptive line enhancement filter is a special type of adaptive filter that, unlike other adaptive filters, does not require a reference signal and has potential application in ECG signal filtering. In this paper, a selflearning filter based on an adaptive line enhancement (ALE) filter is proposed to remove power line interference in ECG signals. We simulate the adaptive filter in MATLwith a noisy ECG signal and analyze the performance of algorithms in terms of signal-to-noise ratio (SNR) improvement. The proposed algorithm is validated with Physikalisch-Technische Bundesanstalt (PTB) ECG signals database. Additive white gaussian noise is added to the raw ECG signal. Influential parameters on the ALE filter performance such as filter delay, the convergence factor, and the filter length are analyzed and discussed.

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“…Pizo 2009 corresponde a uma entrada de ruído descorrelacionado a s e correlacionado a n o (WIDROW et al, 1975) , (BEHBAHANI, 2007).…”

Section: Filtros Isotrópicosunclassified

Mapeamento 3D e planejamento de trajetórias para preenchimento de cavidades por meio de soldagem em múltiplos passes usando o processo Gmaw robotizado

Pinheiro¹

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Agradeço imensamente a Deus, pelo poder de iluminar a humanidade com sua infinita sabedoria e bondade, que trouxe e dá sentido à vida de todos nós. Aos meus pais, irmãos e familiares, que estiveram sempre ao meu lado ensinando valores e os melhores exemplos. Aos meus amores, Marcos e Anamaria, excelente filho e querida noiva, companheiros de toda hora que sempre me fazem lembrar os bons motivos da vida e o melhor sentido do amor. Ao orientador Guilherme Caribé, pelo conhecimento e apoio transmitidos ao longo de minha graduação e mestrado. Aos diversos técnicos que participaram e se envolveram com seu tempo e/ou sabedoria para realização desse trabalho. A todos colegas que trocaram o lazer para me auxiliar. À Universidade de Brasília, pelo espaço, laboratórios, recursos e universo de conhecimentos oferecidos e disponíveis. À Eletronorte como idealizador da pesquisa e inovação. Às instituições Innovix e Rede Sarah de Hospitais pelo apoio indireto no tempo cedido e inevitavelmente compartilhado.

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Investigation of Adaptive Filtering for Noise Cancellation inECG signals

Cited by 4 publications

References 7 publications

A New Physically Meaningful Threshold of Sample Entropy for Detecting Cardiovascular Diseases

A New Physically Meaningful Threshold of Sample Entropy for Detecting Cardiovascular Diseases

Effect of adaptive line enhancement filters on noise cancellation in ECG signals

Mapeamento 3D e planejamento de trajetórias para preenchimento de cavidades por meio de soldagem em múltiplos passes usando o processo Gmaw robotizado

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