Development of Hardware and Software for Generating Test ECG Signals

Gerasimov, A. K.; Pedonova, Zoya N.

doi:10.1007/s10527-022-10126-1

Cited by 6 publications

(1 citation statement)

References 6 publications

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“…The comparison involves six calibrated CTS signal databases, namely ANE20000, ANE20001, CAL05000, CAL10000, CAL15000, CAL20000, along with the modelled ECG signal. Visual comparison is conducted using ECG signal properties, including P wave, QRS Complex, T wave, PR interval, QT interval, PR segment, and ST segment [37], as depicted in the figures 6-8.…”

Section: Simulation Resultsmentioning

confidence: 99%

A piecewise spline approach for modeling of ECG signals

Mishra,

Bhusnur

2023

Biomed. Phys. Eng. Express

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This paper presents a new spline-based modeling method of electrocardiogram(ECG) signal that can reproduce normal as well as abnormal ECG beats. Largevolume ECG data is required for automatic machine learning diagnostic systems, medicaleducation, research and testing purposes but due to privacy issues, access to thismedical data is very di cult. Given this, modeling an ECG signal is a very challengingtask in the eld of biomedical signal processing. Spline-based modeling is the latestand one of the most e cient methods with very low computational complexity in thedomain of ECG signal generation. In this paper, healthy ECG and arrhythmia conditionshave been considered for the synthetic generation, (namely Atrial brillationand Congestive heart failure ECG beats) because these are the leading causes of deathglobally. To validate the performance of the presented modeling method, it is tested on100 signals, also the percentage root mean square di erence (PRD) and the root meansquare error (RMSE) have been determined. These calculated values are analyzed andthe results are found to be very promising and show that the presented method isone of the best methods in the eld of synthetic ECG signal generation. A comparisonamongst relevant existing techniques and the proposed method is also presented.The performance merit values PRD and RMSE, for the proposed method obtainedare 38.99 and 0.10092, respectively, which are lower than the values obtained in othercompared methods. To ensure delity of the proposed modeling technique with respectto IEC60601 standard, few Conformance Testing Services (CTS)database signals havealso been modelled with a very close resemblance with the standard signals.

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Section: Simulation Resultsmentioning

confidence: 99%

A piecewise spline approach for modeling of ECG signals

Mishra,

Bhusnur

2023

Biomed. Phys. Eng. Express

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Advancing ECG Signal Modeling Through a Hybrid Parametric Spline Approach

Mishra,

Bhusnur,

Mishra

2024

Circuits Syst Signal Process

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Data augmentation for generating synthetic electrogastrogram time series

Miljković,

Milenić,

Popović

et al. 2024

Med Biol Eng Comput

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To address an emerging need for large number of diverse datasets for rigor evaluation of signal processing techniques, we developed and evaluated a new method for generating synthetic electrogastrogram time series. We used electrogastrography (EGG) data from an open database to set model parameters and statistical tests to evaluate synthesized data. Additionally, we illustrated method customization for generating artificial EGG time series alterations caused by the simulator sickness. Proposed data augmentation method generates synthetic EGG data with specified duration, sampling frequency, recording state (postprandial or fasting state), overall noise and breathing artifact injection, and pauses in the gastric rhythm (arrhythmia occurrence) with statistically significant difference between postprandial and fasting states in > 70% cases while not accounting for individual differences. Features obtained from the synthetic EGG signal resembling simulator sickness occurrence displayed expected trends. The code for generation of synthetic EGG time series is not only freely available and can be further customized to assess signal processing algorithms but also may be used to increase data diversity for training artificial intelligence (AI) algorithms. The proposed approach is customized for EGG data synthesis but can be easily utilized for other biosignals with similar nature such as electroencephalogram. Graphical abstract

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Development of Hardware and Software for Generating Test ECG Signals

Cited by 6 publications

References 6 publications

A piecewise spline approach for modeling of ECG signals

A piecewise spline approach for modeling of ECG signals

Advancing ECG Signal Modeling Through a Hybrid Parametric Spline Approach

Data augmentation for generating synthetic electrogastrogram time series

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