A Pipeline for Adaptive Filtering and Transformation of Noisy Left-Arm ECG to Its Surrogate Chest Signal

Mohaddes, Farzad; Silva, Rafael Luiz da; Akbulut, Fatma Patlar; Zhou, Yilu; Tanneeru, Akhilesh; Lobatón, Edgar; Lee, Bongmook; Misra, Veena

doi:10.3390/electronics9050866

Cited by 10 publications

(5 citation statements)

References 25 publications

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“…Similarly, optimal performance of the developed adaptive filters for ECG denoising was investigated by Farzad et. Al [21].…”

Section: Resultsmentioning

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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“…Similarly, optimal performance of the developed adaptive filters for ECG denoising was investigated by Farzad et. Al [21].…”

Section: Resultsmentioning

confidence: 99%

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

Karraz

2021

Serb J Electr Eng

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“…The schematic of the conventional adaptive noise cancellation system [ 25 , 26 ] is shown in Fig. 1 .…”

Section: Methodsmentioning

confidence: 99%

A novel adaptive filter with a heart-rate-based reference signal for esophageal pressure signal denoising

Qin,

Huang,

Zhou

et al. 2024

J Clin Monit Comput

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Esophageal pressure (Peso) is one of the most common and minimally invasive methods used to assess the respiratory and lung mechanics in patients receiving mechanical ventilation. However, the Peso measurement is contaminated by cardiogenic oscillations (CGOs), which cannot be easily eliminated in real-time. The field of study dealing with the elimination of CGO from Peso signals is still in the early stages of its development. In this study, we present an adaptive filtering-based method by constructing a reference signal based on the heart rate and sine function to remove CGOs in real-time. The proposed technique is tested using clinical data acquired from 20 patients admitted to the intensive care unit. Lung compliance ( QUOTE ) and esophageal pressure swings (△Pes) are used to evaluate the performance and efficiency of the proposed technique. The CGO can be efficiently suppressed when the constructional reference signal contains the fundamental, and second and third harmonic frequencies of the heart rate signal. The analysis of the data of 8 patients with controlled mechanical ventilation reveals that the standard deviation/mean of the QUOTE is reduced by 28.4–79.2% without changing the QUOTE and the △Pes measurement is more accurate, with the use of our proposed technique. The proposed technique can effectively eliminate the CGOs from the measured Peso signals in real-time without requiring additional equipment to collect the reference signal.

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“…The input satellite navigation signals and noise signals are time domain broadband signals with small sample time delay correlation, but the correlation of the narrowband interference sample value is much stronger than that of the broadband signal, and the current signal value can be estimated using the past signal value [31]. Depending on the correlation, the estimated signal of narrowband interference can be generated through an adaptive filter, canceling it out from the input signal to achieve narrowband interference suppression [32]. The receiver receives the satellite navigation signal and down-converts it to obtain the intermediate frequency signal (IF signal), which is digitally sampled by the analog-todigital convert (ADC) to obtain the input signal as follows:…”

Section: Lms Algorithm Interference Suppression Principlementioning

confidence: 99%

Adaptive Satellite Navigation Anti-Interference Algorithm Based on Inverse Cosine Function

Qu,

Yuan,

Wang

et al. 2023

Electronics

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Contrasting the dilemma that the traditional time-domain least mean square (LMS) algorithm in the existing satellite navigation receiver anti-interference system cannot satisfy the convergence time is short and maintain a low level of steady-state error at the same time, an inverse cosine variable step size LMS algorithm (ICVS-LMS) is proposed. To begin with, the LMS algorithm, with a fixed step size focuses on its effectiveness in attenuating and suppressing interference signals, is analyzed, and then the proposed ICVS-LMS algorithm is analyzed. In conclusion, both the ICVS-LMS algorithm and the traditional algorithm are simulated and compared in terms of their effectiveness in suppressing interference in satellite navigation signals. The experimental results demonstrate that the improved algorithm significantly reduces convergence time while maintaining a small steady-state error. The improved algorithm demonstrates high robustness and an obvious suppression effect on interference signals. The anti-interference performance is 8.41–12.22% higher than that of the proposed algorithm.

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A Pipeline for Adaptive Filtering and Transformation of Noisy Left-Arm ECG to Its Surrogate Chest Signal

Cited by 10 publications

References 25 publications

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

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

A novel adaptive filter with a heart-rate-based reference signal for esophageal pressure signal denoising

Adaptive Satellite Navigation Anti-Interference Algorithm Based on Inverse Cosine Function

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