A method for reduction of power line interference in the ECG

Mitov, Iliya

doi:10.1016/j.medengphy.2004.08.014

Cited by 26 publications

(8 citation statements)

References 8 publications

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“…External interference come from power lines and internal interference come from its internal power supply [8]. Mitov focused a method for reduction of PLI in electrocardiograms with sampling rate integer multiple of the nominal power line frequency is developed and tested using simulated signals from database [9]. Levkov C., Mihov G., Ivanov R., Daslkov I., Christov I, Dotsinsky I. have estimated noise in the ECG by subtraction procedure [10].…”

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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“…Mitov I.P. A method for reduction of power line interference in the ECG [8]. Yong Lian, Poh Choo Ho.…”

Section: Fig 2: Interferences In the Ecg Signalmentioning

confidence: 99%

A Real Time Approach: ECG Noise Reduction in Chebyshev Type II Digital Filter

Jagtap¹,

Uplane²

2012

IJCA

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It is well known that biomedical signals carry important information about the behavior of the living systems under study. With the analysis of the Electrocardiogram (ECG) signal it may be possible to predict heart problems or monitor patient recovery after a heart intervention. A proper processing of these signals enhances their physiological and clinical information. The quality of biomedical signal is degraded mainly by many sources of noise such as power line interference (PLI), baseline drift, muscle contraction noise etc. The objective of this paper is to implement the Chebyshev Type II digital filter to overcome degradation by improving ECG signal quality for quality clinical diagnosis. Different artifacts are the reason in corruption of the ECG signal. Removing noise from the biomedical signal is still challenging and a rapidly expanding field with a wide range of applications in ECG noise reduction. Present paper deals with the design of Chebyshev Type II filters including low pass, high pass, notch filters. Also the performance is tested using cascading of filters. For real time application 1711 add on card is used. Different ECG signals from MIT/BIH arrhythmia database are used for validation and compared with real time ECG signals. The objective of this paper is to implement the Chebyshev Type II digital filter to overcome degradation by improving ECG signal quality for quality clinical diagnosis. Finally results indicate noise reduction in the ECG.

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“…The most common approach is to use a digital notch filter at the power line frequency (50 Hz/60 Hz), which could be easily implemented with low computational cost [29,30]. However, there are often cases when the power line interference contains not only the 50 Hz/60 Hz component but also multiple harmonic components, as well as other interferences caused by the instability of the power supply system [31][32][33]. Hence, filter banks with notch frequencies located at the fundamental and harmonic components of power line interference were also employed [34].…”

Section: Introductionmentioning

confidence: 99%

Effective Biopotential Signal Acquisition: Comparison of Different Shielded Drive Technologies

et al. 2018

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Biopotential signals are mainly characterized by low amplitude and thus often distorted by extraneous interferences, such as power line interference in the recording environment and movement artifacts during the acquisition process. With the presence of such large-amplitude interferences, subsequent processing and analysis of the acquired signals becomes quite a challenging task that has been reported by many previous studies. A number of software-based filtering techniques have been proposed, with most of them being able to minimize the interferences but at the expense of distorting the useful components of the target signal. Therefore, this study proposes a hardware-based method that utilizes a shielded drive circuit to eliminate extraneous interferences on biopotential signal recordings, while also preserving all useful components of the target signal. The performance of the proposed method was evaluated by comparing the results with conventional hardware and software filtering methods in three different biopotential signal recording experiments (electrocardiogram (ECG), electro-oculogram (EOG), and electromyography (EMG)) on an ADS1299EEG-FE platform. The results showed that the proposed method could effectively suppress power line interference as well as its harmonic components, and it could also significantly eliminate the influence of unwanted electrode lead jitter interference. Findings from this study suggest that the proposed method may provide potential insight into high quality acquisition of different biopotential signals to greatly ease subsequent processing in various biomedical applications.

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A method for reduction of power line interference in the ECG

Cited by 26 publications

References 8 publications

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

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

A Real Time Approach: ECG Noise Reduction in Chebyshev Type II Digital Filter

Effective Biopotential Signal Acquisition: Comparison of Different Shielded Drive Technologies

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