ECG noise removal and QRS complex detection using UWT

Akshay, Naregalkar; Jonnabhotla, Naga Ananda Vamsee; Sadam, Nikita; Yeddanapudi, Naga Deepthi

doi:10.1109/iceie.2010.5559812

Cited by 28 publications

(15 citation statements)

References 4 publications

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“…The research about the application of the Wavelet transform has been applied in many fields of study, such as ultrasound and biomedical field [12][13][ [17][18][19] because Wavelet can maintain the detail of the original signal as well as removing the unused part such as noise and reconstruct the signal [20]. In the previous research about developing a conversion curve from an echo signal [12][13][14][15], the method to remove the noise of the signal is not discussed in detail, it is either because the echo signal can instantly be processed or because the need for signal pre-processing is not necessary.…”

Section: Related Workmentioning

confidence: 99%

“…This noise will affect the amplitude and the shape of the signal, which will change the value of the peak-to-peak and RMS as well. In this research, the Wavelet transform is applied to overcome this problem, because Wavelet can remove the noise without losing the original profile of the signal [10][11][12][13], compared to the conventional Bandpass filter method. The Wavelet transform can also be applied to detect the peak of the signal more precisely, compared to the conventional peak detection such as curve fitting method.…”

Section: Introductionmentioning

confidence: 99%

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The Enhancement of 3 MHz Ultrasonic Echo Signal for Conversion Curve Development for Acoustic Impedance Estimation by Using Wavelet Transform

Prastika

Gunawan

Dewantara

et al. 2018

emitter

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Ultrasonic technology has already been applied for many applications. Most of them are mainly used for object measurement. Some techniques have been widely applied to particular measurement by utilizing a very specific component. In this research, the previous technique to develop a conversion curve to obtain the acoustic impedance of the target is adopted. Then, a 3 MHz concave shaped ultrasonic transducer for measuring liquids is proposed and a confirmation is needed to confirm if the system is correct. Therefore, several saline solutions with some known properties are used. A low voltage of 10 Volt pulse is sent to trigger the transducer. The ultrasonic wave is transmitted through the multilayered mediums, which is pure water, clear acrylic, and the target. The echo from the interface between the acrylic and the target is then received by the same transducer. Some parameters such as peak and Root Mean Square (RMS) are used to develop the conversion curve. A peak detection and comparison between the original echo and the processed one by using Wavelet transform is performed. Some analysis of the echo signal by using multiresolution and timefrequency analysis are also proposed. The result obtained from the measurement is then compared to the theoretical calculation. Based on the result, in terms of developing the conversion curve, only the RMS value of the Undecimated Wavelet Transform (UWT) which has the closest trend to the result of the calculation, with the mean percentage error of 0.65512%, which is the smallest value among all parameters.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The Enhancement of 3 MHz Ultrasonic Echo Signal for Conversion Curve Development for Acoustic Impedance Estimation by Using Wavelet Transform

Prastika

Gunawan

Dewantara

et al. 2018

emitter

View full text Add to dashboard Cite

show abstract

“…One of the most widely used techniques for identifying non-repetitive and/or periodic patterns or distortions has been the wavelet transform [4][5].This technique adapts a wavelet pattern to the characteristics of the signal distortion to be identified.This has been used for identification of epileptic spikes in electroencephalography (EEG) signal [6][7][8][9], to identify emboli in the blood flow signal [10][11][12][13], to identify arrhythmias in the ECG signal [14][15][16], for identifying flaws in industrial materials (metals, concrete, etc. )in the ultrasound signal [17][18][19], and many other scenarios.…”

Section: Iirelated Workmentioning

confidence: 99%

Stochastic Method for Non-Homogeneous Cycles Identification in Quasi-Periodic Signals

Guzmán¹,

Carbajal²

2015

IJAREEIE

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ABSTRACT:Quasi-periodic signals can be contaminated with random distortions ("artifacts") not manifested periodically and homogenously,without affecting all signal cycles.These distortions cannot be characterized statistically or modelled with a known probability function. In this paper, a stochastic analysis method to detect the presence of such distortions is proposed. The aim of the method is identifying the affected cycles, which exhibit a different morphology compared to the unaffected cycles.The identification of the affected cycles (or non-homogeneous cycles) allows to estimate parameters and extract the useful information needed for a correct characterization of the signal.The method compares nearly periodic signal cycles through the mean square error and the estimated variance of the inherent noise affecting the signal. Expressions are derived to estimate this error and compared with experimental results.

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“…Daubechies 6 (db6) [7] wavelet is suitable because its shape resembles that of ECG. For better balance between smoothness and accuracy when compared to Discrete Wavelet Transform (DWT), Undecimated Wavelet Transform (UWT) [8] of level 8 is applied. The choice of this level is because the noise removal efficiency is proportional to the increase in levels.…”

Section: Ecg Analysismentioning

confidence: 99%

Design and Development of a Two Channel Telemedicine System for Rural Healthcare

Ramesh¹,

Balasubramanian²,

Vijayan³

et al. 2013

ENG

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In this work, an attempt has been made to design an Electro Cardio Gram (ECG) and Photo Plethysmo Gram (PPG) based telemedicine system for rural health care. In India as per the survey conducted by Indian Medical Society in the year 2009, it has been revealed that only 2% of the qualified doctors practice in rural areas. Also, according to the statistics taken by the World Health Organization, every year an estimated 17 million people die of various cardio vascular diseases. This paper introduces the transmission of ECG and PULSE from remote areas to the specialists' office. The ECG and PPG signals are acquired, digitized and processed using LabVIEW for detection of heart and pulse rate. These data are transmitted using two methods namely Web publishing tool and Shared Variables. The results confirm the transfer of data with less than millisecond delay.

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ECG noise removal and QRS complex detection using UWT

Cited by 28 publications

References 4 publications

The Enhancement of 3 MHz Ultrasonic Echo Signal for Conversion Curve Development for Acoustic Impedance Estimation by Using Wavelet Transform

The Enhancement of 3 MHz Ultrasonic Echo Signal for Conversion Curve Development for Acoustic Impedance Estimation by Using Wavelet Transform

Stochastic Method for Non-Homogeneous Cycles Identification in Quasi-Periodic Signals

Design and Development of a Two Channel Telemedicine System for Rural Healthcare

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