Algorithm for EMG noise level approximation in ECG signals

Marouf, Mohamed; Saranovac, Lazar; Vukomanović, Goran

doi:10.1016/j.bspc.2017.02.002

Cited by 26 publications

(8 citation statements)

References 12 publications

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“…Afterwards, the quality of each lead was estimated using more sophisticated time-invariant algorithm than that used for real time processing. This algorithm is used to estimate the signal quality vs. motion artifacts and baseline artifacts and high frequency EMG noises [ 28 ]. Subsequently, the leads quality estimation is used in leads selection logic to use one, two, or all three leads for delineation, clustering, and classification stages.…”

Section: System Architecture and Designmentioning

confidence: 99%

Multi-purpose ECG telemetry system

et al. 2017

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BackgroundThe Electrocardiogram ECG is one of the most important non-invasive tools for cardiac diseases diagnosis. Taking advantage of the developed telecommunication infrastructure, several approaches that address the development of telemetry cardiac devices were introduced recently. Telemetry ECG devices allow easy and fast ECG monitoring of patients with suspected cardiac issues. Choosing the right device with the desired working mode, signal quality, and the device cost are still the main obstacles to massive usage of these devices.MethodsIn this paper, we introduce design, implementation, and validation of a multi-purpose telemetry system for recording, transmission, and interpretation of ECG signals in different recording modes. The system consists of an ECG device, a cloud-based analysis pipeline, and accompanied mobile applications for physicians and patients. The proposed ECG device’s mechanical design allows laypersons to easily record post-event short-term ECG signals, using dry electrodes without any preparation. Moreover, patients can use the device to record long-term signals in loop and holter modes, using wet electrodes. In order to overcome the problem of signal quality fluctuation due to using different electrodes types and different placements on subject’s chest, customized ECG signal processing and interpretation pipeline is presented for each working mode.ResultsWe present the evaluation of the novel short-term recorder design. Recording of an ECG signal was performed for 391 patients using a standard 12-leads golden standard ECG and the proposed patient-activated short-term post-event recorder. In the validation phase, a sample of validation signals followed peer review process wherein two experts annotated the signals in terms of signal acceptability for diagnosis.We found that 96% of signals allow detecting arrhythmia and other signal’s abnormal changes. Additionally, we compared and presented the correlation coefficient and the automatic QRS delineation results of both short-term post-event recorder and 12-leads golden standard ECG recorder.ConclusionsThe proposed multi-purpose ECG device allows physicians to choose the working mode of the same device according to the patient status. The proposed device was designed to allow patients to manage the technical requirements of both working modes. Post-event short-term ECG recording using the proposed design provide physicians reliable three ECG leads with direct symptom-rhythm correlation.

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Section: System Architecture and Designmentioning

confidence: 99%

Multi-purpose ECG telemetry system

et al. 2017

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“…Main noise sources are due to contaminates of the patient's electrodes are motion artifacts, baseline wander, and power line interference. EMG signal noise is difficult to detect and remove based on the linear filtering due to the non-stationary noises and overlap on the signals [1,2]. Noise reduction is an important part of the analysis, diagnosis and other measurements of the signal in the medical domain.…”

Section: Introductionmentioning

confidence: 99%

VLSI Implementation of LFA based Median Filter with Noise Detection Architecture for EMG Denoising

Sharanabasappa¹,

Babu²

2020

IJIES

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Noise Reduction with less computational time and resources of the signal is a major requirement in signal processing. In the real-world scenario, Electromyography (EMG) signals often affect by various noises. The EMG signal requires noise reduction to obtain an accurate diagnosis process. In this study, Ladner-Fischer Adder (LFA) based Median Filter (MF) architecture is used to remove the noise from the EMG signal. The noise evaluation process is included in this proposed method to eliminate the flicker noise from the signal. The proposed LFA-MF method is simulated in the Cadence RTL compiler and Xilinx tool to evaluate the performance in terms of power, delay and Look Up Table (LUT). The objective of this work is to design the noise detection structure to avoid the denoising process for all the samples. This helps to reduce the hardware resources of the entire median filter architecture. The simulation result of LFA-MF architecture showed that it has lower power consumption and delay in noise reduction. The LFA-MF architecture has a power consumption of 1006548 nW in 16-bit sample width, while the existing method has 1537940 nW power consumption.

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“…This cause a huge complication in analyzing and identifying the ECG abnormalities [8]. ECG noises that commonly encountered includes powerline interference [9][10][11][12][13], baseline wander [14][15][16][17], electromyography noise [18,19], and electrode motion noise [20][21][22][23][24][25][26]. The ECG analysis can be challenging with the existence of these artifacts as the chance of misinterpretation increase, subsequently lead to the inaccurate clinical analysis and diagnosis result.…”

Section: Introductionmentioning

confidence: 99%