Abstract
Background: Standard clinical parameter for monitoring and diagnosis of cardiovascular function is the electrocardiogram (ECG). It is an electrical activity of a heart generated by the cardiac muscle, measured using lead configuration placed on the body. Objective: Main objective is to design and validate the ECG signal acquisition module and its signal quality. Method: A simple 3-lead ECG acquisition module is created using Instrumentation amplifier and filter circuit. A different method like Template matching-Pearson Correlation, Skewness, Kurtosis, Statistical Test, Comparison of Error Bar, and Machine signal quality classifier is proposed to assess its signal quality. Result: In this paper, we have given the information about the statistical and machine learning method to estimate ECG signal quality acquired from the designed module. Conclusion: The result of the article concludes that the developed module produces a quality signal that can be used for clinical application.
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References
Orphanidou C: Signal Quality Assessment in Physiological Monitoring: State of the Art and Practical Considerations. Springer (2017)
Jindal GD, Deepak KK, Jain RK: A handbook on physiological variability. In: Advanced applications of physiological variability (2010)
Martinez-Tabares FJ, Espinosa-Oviedo J, Castellanos- Dominguez G: Improvement of ECG signal quality measurement using correlation and diversity-based approaches. In: Annual international conference of the IEEE engineering in medicine and biology society IEEE (2012)
Kulek J, et al.: Data driven approach to ECG signal quality assessment using multistep SVM classification. In: Computing in cardiology, IEEE (2011)
Del Ro BAS, Lopetegi T, Romero I: Assessment of different methods to estimate electrocardiogram signal quality. In: Computing in cardiology, IEEE (2011)
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Shashikant, Chetankumar, P. (2020). Assessment of ECG Signal Quality. In: Satapathy, S.C., Raju, K.S., Shyamala, K., Krishna, D.R., Favorskaya, M.N. (eds) Advances in Decision Sciences, Image Processing, Security and Computer Vision. ICETE 2019. Learning and Analytics in Intelligent Systems, vol 3. Springer, Cham. https://doi.org/10.1007/978-3-030-24322-7_2
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DOI: https://doi.org/10.1007/978-3-030-24322-7_2
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