Estimation and removal of power line interference in the electrocardiogram: A comparison of digital approaches

Cramer, Eckehart; McManus, Christopher; Neubert, D.

doi:10.1016/0010-4809(87)90014-0

Cited by 22 publications

(6 citation statements)

References 1 publication

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“…al. has suggested filtering approach in which two different filters are designed and compared for power line estimation as well as removal in the ECG signal [4]. Ferdjallah M, Barr R. E. has worked on frequency domain digital filtering technique for the removal of power line noise [5].…”

Section: Literature Surveymentioning

confidence: 99%

The impact of digital filtering to ECG analysis: Butterworth filter application

Jagtap

Uplane

2012

2012 International Conference on Communication, Information &Amp; Computing Technology (ICCICT)

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ECG is a prime important signal for coronary heart diseases which focuses on electrophysiology of heart. Quality diagnosis of ECG is a technological challenge. In high quality diagnostic analysis of the bio-potential signals such as ECG, power line interference (PLI) sometimes referred to as ac pickup or hum is a common problem in recording situation. Especially if computer interpretations of the recorded signals is required, then it is essential that line interference is reduced to minimum so that critical points of ECG waveforms may be accurately determined. By employing an digital filter approach to the problem we can effectively eliminate the causes of interference and avoid drastic remedies such as changing recording sites or installation of expensive shielding. Various possibilities for line interference have been studied and models of digital filter implementation have been constructed. For meaningful and accurate detection, steps have to be taken to discard all noise sources generally termed as filtering of ECG. In this paper an effort is made to develop a Butterworth filter with an effective computerized solution for improving the ECG signal and reducing the interferences associated to it.

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Section: Literature Surveymentioning

confidence: 99%

The impact of digital filtering to ECG analysis: Butterworth filter application

Jagtap

Uplane

2012

2012 International Conference on Communication, Information &Amp; Computing Technology (ICCICT)

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“…One is based on a least-squares error fit, the other uses a special summation method. Both methods are compared with a local predictive filter by applying each filter to artificial signals and to real ECGs - [7].…”

Section: Power Line Interferencementioning

confidence: 99%

“…but become in-phase coincidence using the formula It is possible to take for averaging every second, third or q" sample if n / q is integer. Depending on whether n / q is odd or even, Eqn (7) or (8) is used, respectively.…”

Section: Analysis Of Power Line Elimination From Ecgmentioning

confidence: 99%

Hardware Implementation of Modified Ecg With Power Line Noise Cancellation

A¹,

Azzam²,

Alaam³

2009

ERJ. Engineering Research Journal

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The electrocardiogram is generally used clinically in diagnosing the heart diseases. Hence, it must be very accurate. Signals recorded are often contaminated with Power Lime 50 Hz noise and harmonics originating from power supplies, power mains and lights. The presence of noise cormpts the information content of these signals and can degrade the quality of subsequent data analysis. This electrical interference is notoriously difficult to remove without altering the original signal imbedded within the noise. The power line interference reduction in ECG records is a challenging problem which is still open for research. The power line signal, measured directly &om the transmission l i e may have amplitude, phase and frequency variations. This paper deals with designing 50 Hz Twin-T notch filter for elimmating the power line noise from ECG signal. i~b .L+llllr L h 3j % 3 1 3 1 1 ! , &I &Ip\ 4 4 ' &I S! 4 1 YJ j k hi, $ 9 0 .

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“…The least mean squares (LMS) criterion is a search algorithm that can be used to provide the strategy for adjusting the filter coefficients. A number of adaptive structures have been used for different applications in adaptive filtering [2]. The objective of this paper is removal of noise from ECG signal.…”

Section: Introductionmentioning

confidence: 99%

Noise Reduction Techniques in Ecg Using Different Methods

2017

IJMTER

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Due to fast life style Heart related problems are increasing day by day and it's very important that disease related to heart can be diagnosed easily by simple medical techniques. These diseases can be diagnosed by ECG (Electrocardiogram) signals. ECG measures electrical potentials from the body surface with contact electrodes, thus it is treated as one of the important signals. The ECG recording is often deteriorated by several factors such as power line interference and baseline wander noise. Various noises have to be removed for better clinical evaluation. In this paper methodologies Like, Adaptive filtering using LMS algorithm, Digital IIR filter & FIR filter using hamming window is used to remove such noise in the ECG signal. Signal to noise ratio (SNR) are calculate from ECG signal and compared with the performance of proposed methods used for removal of ECG noise.

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Estimation and removal of power line interference in the electrocardiogram: A comparison of digital approaches

Cited by 22 publications

References 1 publication

The impact of digital filtering to ECG analysis: Butterworth filter application

The impact of digital filtering to ECG analysis: Butterworth filter application

Hardware Implementation of Modified Ecg With Power Line Noise Cancellation

Noise Reduction Techniques in Ecg Using Different Methods

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