Characterization and Elimination of AC Noise in Electrocardiograms: A Comparison of Digital Filtering Methods

McManus, Christopher; Neubert, Karl-Dietrich; Cramer, Eckehart

doi:10.1006/cbmr.1993.1003

Cited by 52 publications

(17 citation statements)

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“…The choice of the wavelet function order and the number of decomposition levels are justified since they are the same used by the proposed method. McManus et al (1993) present four categories of digital filters for PLI removal: low-pass, notch-rejection, adaptive and global. For the implementation of the narrow-band-rejection filter (notch) it is considered a recursive filtering that includes a two-pole and two-zero filter.…”

Section: Thresholding Techniquesmentioning

confidence: 99%

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A wavelet-based method for power-line interference removal in ECG signals

et al. 2018

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Introduction: The analysis of electrocardiogram (ECG) signals allows the experts to diagnosis several cardiac disorders. However, the accuracy of such diagnostic depends on the signals quality. In this paper it is proposed a simple method for power-line interference (PLI) removal based on the wavelet decomposition, without the use of thresholding techniques. Methods: This method consists in identifying the ECG and noise frequency range for further zeroing wavelet detail coefficients in the subbands with no ECG coefficients in the frequency content. Afterward, the enhanced ECG signal is obtained by the inverse discrete wavelet transform (IDWT

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Section: Thresholding Techniquesmentioning

confidence: 99%

“…For the implementation of the narrow-band-rejection filter (notch) it is considered a recursive filtering that includes a two-pole and two-zero filter. The filter output is given by (McManus et al, 1993, apud Lynn, 1971.…”

Section: Thresholding Techniquesmentioning

confidence: 99%

A wavelet-based method for power-line interference removal in ECG signals

et al. 2018

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“…McManus C.D., Neubert K.D. and Cramer E. have compared digital filtering methods for elimination of AC noise in ECG [3]. Patrica Arand patented method and apparatus for removing baseline wander from an ECG signal [4].…”

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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“…To prepare the complex recordings e.g., EEG or EKG in a reproducible easy to use format efforts have been made to obtain some scores to analyze the data in an objective and easy to use manner understandable for ordinary caretakers without undue time wasting. (Towe BC., 1981;Mc Manus CD, 1993;Arefian NM, 2007;Saberi H, 2007) To process the data in intensive care settings, it is needed the procedure be performed in a quick, reliable and cost effective format so that the attending clinician becomes able to take appropriate decisions in a short period of time.…”

Section: Introductionmentioning

confidence: 99%

Developing a Bedside Software for Digitizing Paper Based Medical Data in Intensive Care Settings

Seddighi¹,

Golzan²,

Seddighi³

et al. 2011

GJHS

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Objective: Most of the data in medical monitoring are gathered analogically or their digital format is inaccessible to the clinician. Current techniques of digitization are very complicated and mostly cause heavy costs. We have developed a software package which can convert paper based input data to a digital format.Design: Recordings were obtained from patients with supratentorial tumors who were monitored postoperatively after elective craniotomy. Then the clinically determined values were calculated by our software and were compared with the average value for each point as measured by three independent blinded examiners. Results: Recordings were obtained from 10 patients. The resultant curve for each tested parameter was completely compatible with the related curve obtained by our digitization software. In addition statistical analysis showed no difference between the results in clinical assays and the digitized results.Conclusion: Our proposed software is tested by several different measurements and compared with the clinical results. Our proposed software is based on a brief program which is not only precise but also simple and user friendly and cheap. It eliminates the background grid and artifacts especially in TCD monitoring record which causes a very crowded display.

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Characterization and Elimination of AC Noise in Electrocardiograms: A Comparison of Digital Filtering Methods

Cited by 52 publications

References 0 publications

A wavelet-based method for power-line interference removal in ECG signals

A wavelet-based method for power-line interference removal in ECG signals

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

Developing a Bedside Software for Digitizing Paper Based Medical Data in Intensive Care Settings

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