Reduction arithmetic for power line interference from ECG based on estimating sinusoidal parameters

Hu, Xiao; Xiao, Zhong; Liu, Changhong

doi:10.1109/bmei.2010.5640006

Cited by 5 publications

(2 citation statements)

References 9 publications

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“…The important issue is to get a reconstructed signal with the least error can be accomplished. A moving average filter [8], [9] and wavelet translation [10] were often used to construct a high-pass filter. However, a high-pass filter would unavoidably introduce distortions in various parts of the ECG signal, especially in the ST segment due to the spectra of the ST segment that overlaps the spectra of BW [11], [12].…”

Section: Introductionmentioning

confidence: 99%

FPGA Realization for Baseline Wander Noise Cancellation of ECG Signals using Wavelet Transform

Hassan¹

2017

IJCA

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Baseline Wander (BW) is a common noise in electrocardiogram (ECG). To effectively correct and to preserve more underlying components of an ECG signal, a powerful tool for removal of BW noise from various signals was introduced. This paper presented the discrete wavelet to get rid of that noise. This method is based on comparing signal with discrete multi-rate filter banks. A multi-level decomposition was performed on the noisy signal and then the splitting into low sub-bands and a high pass band sub-bands called detail level was performed. After that, the analysis of the details level and the identifying of a suitable threshold technique were done. Reconstruction of the signal was done through the calculation of the detail coefficients. Finally, the difference between the original signal and the reconstructed signal was calculated. The proposed technique was compared with the previous techniques in this domain of search. The algorithm was tested using Matlab tool. The results showed that the proposed filter could more effectively extract baseline wander from ECG signal and affect the morphological feature of ECG signal considerably less than both the traditional moving average filter and adaptive filter did. The results showed also that this proposed technique achieved excellent results in terms of Mean Square Error (MSE) and convergence rate rather than the previous approaches. This paper also introduced the efficient realization of the proposed approach using FPGA. The proposed method was verified by FPGA (Xilinx Virtex-7 XC7VX690T) realization, revealing its effectiveness in real-time applications. General TermsSub-band-Threshold technique -Matlab -FPGA.

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Section: Introductionmentioning

confidence: 99%

FPGA Realization for Baseline Wander Noise Cancellation of ECG Signals using Wavelet Transform

Hassan¹

2017

IJCA

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“…The subtraction of the filtered and non-filtered segments results in an interference value. A similar procedure uses an added least squares and nonlinear regression routines to estimate sinusoidal parameters [31]. Other subtraction procedures utilize spline techniques to estimate the ECG signal [32].…”

Section: Introductionmentioning

confidence: 99%

Time-Frequency Equivalence in Removing Sinusoidal Interference from Electrocardiograms

Coventry¹

2014

IJBSE

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Abstract:In recorded bioelectric signals, such as the electrocardiogram, sinusoidal interference from power lines or other sources causes distortion in the signal and may lead to misdiagnosis. For long or continuous recordings, adaptive filtering can be effective in minimizing the interference. For short recording, the options are limited. Subtractive methods have been used, but they do not distinguish between the interference and signal components with similar frequency. A new method can distinguish between signal and interference, so that the interference can be removed with very small residual error. In clinical recordings, the frequency of powerline interference is known, but the adaptive nature of the algorithm allows extension to cases when the frequency of interference is not known exactly.

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A Novel Cyclic Convolution Based Regularization Method for Power-Line Interference Removal in ECG Signal

Sujadevi

Soman

Kumar

et al. 2017

Advances in Intelligent Systems and Computing

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Reduction arithmetic for power line interference from ECG based on estimating sinusoidal parameters

Cited by 5 publications

References 9 publications

FPGA Realization for Baseline Wander Noise Cancellation of ECG Signals using Wavelet Transform

FPGA Realization for Baseline Wander Noise Cancellation of ECG Signals using Wavelet Transform

Time-Frequency Equivalence in Removing Sinusoidal Interference from Electrocardiograms

A Novel Cyclic Convolution Based Regularization Method for Power-Line Interference Removal in ECG Signal

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