IEEE J Biomed Health Inform - An Adaptive Filter for the Removal of Drifting Sinusoidal Noise without a Reference.

Tópicos

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Resumo

This paper presents a method for filtering sinusoidal noise with a variable bandwidth filter that is capable of tracking a sinusoid's drifting frequency. The method, which is based on the adaptive noise canceling (ANC) technique, will be referred to here as the adaptive sinusoid canceler (ASC). The ASC eliminates sinusoidal contamination by tracking its frequency and achieving a narrower bandwidth than typical notch filters. The detected frequency is used to digitally generate an internal reference instead of relying on an external one as ANC filters typically do. The filter's bandwidth adjusts to achieve faster and more accurate convergence. In this paper the focus of the discussion and the data is physiological signals, specifically electrocorticographic (ECoG) neural data contaminated with power line noise, but the presented technique could be applicable to other recordings as well. On simulated data, the ASC was able to reliably track the noise's frequency, properly adjust its bandwidth, and outperform comparative methods including standard notch filters and an adaptive line enhancer (ALE). These results were reinforced by visual results obtained from real ECoG data. The ASC showed that it could be an effective method for increasing signal to noise ratio (SNR) in the presence of drifting sinusoidal noise, which is of significant interest for biomedical applications.

Resumo Limpo

paper present method filter sinusoid nois variabl bandwidth filter capabl track sinusoid drift frequenc method base adapt nois cancel anc techniqu will refer adapt sinusoid cancel asc asc elimin sinusoid contamin track frequenc achiev narrow bandwidth typic notch filter detect frequenc use digit generat intern refer instead reli extern one anc filter typic filter bandwidth adjust achiev faster accur converg paper focus discuss data physiolog signal specif electrocorticograph ecog neural data contamin power line nois present techniqu applic record well simul data asc abl reliabl track nois frequenc proper adjust bandwidth outperform compar method includ standard notch filter adapt line enhanc ale result reinforc visual result obtain real ecog data asc show effect method increas signal nois ratio snr presenc drift sinusoid nois signific interest biomed applic

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