ECG Signal Characterization Using Lagrange-Chebyshev Polynomials

Yadav, Om Prakash; Ray, Shashwati

doi:10.3103/s0735272719020031

Cited by 8 publications

(4 citation statements)

References 28 publications

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“…Other parameters are negatively oriented and algorithms producing lower values are better. Details about the performance parameters can be obtained from [23].…”

Section: Methods and Resultsmentioning

confidence: 99%

Electrocardiogram estimation using Lagrange interpolation

Yadav

Sahu²

2021

Electronics Letters

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An electrocardiogram records activity of cardiac which is collected through the electrodes positioned on specific locations on the human body. These signals are required for cardiac‐related issues. Electrocardiogram signals are quasi‐stable signals and are often contaminated by artefacts. The magnitude and frequency of these artefacts are different, and thus their effect on electrocardiogram is also variable. These artefacts must reduce to a significantly optimum level to make them interpretable. This paper proposes an algorithm to estimate electrocardiogram signals from the MIT‐BIH database signal using Lagrange interpolation through Chebyshev nodes. The performance evaluation of the proposed method has been assessed through standard estimation tools. Performance parameters revealed that the algorithm is suitable for signal estimation irrespective of the characteristic of artefact introduced to the signal.

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“…Other parameters are negatively oriented and algorithms producing lower values are better. Details about the performance parameters can be obtained from [23].…”

Section: Methods and Resultsmentioning

confidence: 99%

Electrocardiogram estimation using Lagrange interpolation

Yadav

Sahu²

2021

Electronics Letters

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“…Chebyshev filters find wide application in the fields of signal processing and biomedical instrumentation. They are widely used for filtering signals such as ECG [1,2]. These filters offer higher roll-offs by allowing ripples in the passband or stopband.…”

Section: Introductionmentioning

confidence: 99%

Designing of Fractional Order Inverse Chebyshev Low Pass Filter Using Particle Swarm Optimization

Daryani

Aggarwal

2022

Advances in Transdisciplinary Engineering

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The design of fractional order inverse Chebyshev low pass filter has been presented in this paper. The (1+α) order inverse Chebyshev filters have been designed by comparing the transfer function of fractional order low pass notch filter with the second-order inverse Chebyshev low pass filter. Particle swarm optimization has been utilized to derive the coefficients of the fractional-order filters by varying α from 0.1 to 0.9. The canonical forms of these filters have been realized using multiple input Biquad circuits. The value of circuit elements for each order has been derived. Further, the values for the equivalent RC ladder network of the constant phase element have been derived by fifth-order continuous fractional expansion for the orders 1.2, 1.5 and 1.8. The magnitude plots for the 1.2 and 1.8 order inverse Chebyshev low pass filter have been plotted in SPICE and the magnitude plot for the 1.8 order filter has been compared with PSO approximated plot to confirm the feasibility of the OP-Amp based realized circuit with a mean error of 0.495dB.

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“…Simplest singlechannel devices include integrated capacitive ECG sensors [2]. The disadvantages of such devices are signal distortion because of the variable skin-electrode resistance and high sensitivity to mechanical movement upon contact that reduce accuracy of received data [3]. In order to take an ECG test, the aforementioned devices should be pressed against the chest or they should be firmly squeezed with the palms of both hands.…”

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confidence: 99%

“…Uninvestigated parts of general matters defining. The disadvantage of standard electrocardiography methods is the signal distortion, as a result of the electromagnetic interference [3]. Connectors and connecting cables, the human body, the PEC computing module generate electromagnetic distortions [10].…”

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confidence: 99%

Portable Electrocardiograph With GSM Module for Telemedicine

Sobianin

Skonechnyi

Yarova

2020

TST

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Urgency of the research. The principles of telemedicine need to be put into practice of emergency medical care and family medicine, so there is a need for diagnostic medical equipment with the ability of data transfer and remote consulting with subject matter experts. Target setting. Currently, ECG testing consumes the time to prepare the device for work, needs for the personal computer as the additional equipment and requires highly skilled staff. The development of portable electrocardiographic equipment with built-in means of communication is a task of current importance for biomedical engineering. Actual scientific researches and issues analysis. The current researches in the development of portable cardiograph for primary preclinical diagnostics are focused on the choice of optimal design parameters of device and the incensement of noise immunity of medical equipment. Uninvestigated parts of general matters defining. This article focuses on the design development of the portable electrocardiograph with built-in GSM module for operation in telemedicine systems. The research objective is the design of the portable electrocardiograph for telemedicine that has a convenient interface for device control, is equipped with means of communication with cardiac care centers, has universal ports for information output to external drives and connection of additional devices, is as ergonomic as possible, meets safety, reliability and energy efficiency requirements. The statement of basic materials. The main design requirements to portable electrocardiographic equipment are formulated. The basic functional units of the device are chosen and its electronic block diagram is synthesized. The computer simulation of processes and parameters of the circuitry of the instrumentation amplifier functionality at given operating temperatures proves the validity of proposed circuit design. The constructive implementation of the schematic diagram is designed. The device constructive parameters that meet the requirements of telemedicine most closely are defined. Conclusions. The key features of the designed portable electrocardiograph with GSM module are: the embodiment in folding form-factor, the availability of GSM module, the constant connection of ECG electrodes via integrated ECG cable. The embodiment in folding form-factor optimizes ergonomic characteristics of the device. The replacement of non-integral ECG cable with integrated one reduces the intensity of internal noise and reduces time to prepare the device for work. Builtin GSM module provides affordable communication with specialized medical facilities, thus reducing the duration of the diagnostics and increasing the efficiency of the medical care in non-ambulatory out-hospital an outpatient setting.

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ECG Signal Characterization Using Lagrange-Chebyshev Polynomials

Cited by 8 publications

References 28 publications

Electrocardiogram estimation using Lagrange interpolation

Electrocardiogram estimation using Lagrange interpolation

Designing of Fractional Order Inverse Chebyshev Low Pass Filter Using Particle Swarm Optimization

Portable Electrocardiograph With GSM Module for Telemedicine

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