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Autoregressive Models of Electrocardiographic Signal Contaminated with Motion Artifacts: Benchmark for Biomedical Signal Processing Studies

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VII Latin American Congress on Biomedical Engineering CLAIB 2016, Bucaramanga, Santander, Colombia, October 26th -28th, 2016

Part of the book series: IFMBE Proceedings ((IFMBE,volume 60))

Abstract

Motion artifacts are one of the biggest challenges in analysis of electrocardiographic signals in outpatients, different signals processing techniques have been developed to significantly reduce these artifacts, however, there is not a standard signal that consider artifacts and allows to compare the proposed algorithms to reduce these, as is done in other areas such as acoustic or seismic. In this paper, a mathematical model for the representation of the electrocardiographic signal with motion artifacts is proposed; Fourier analysis and adjustment parameters are shown to mathematically represent an electrocardiography lead. Identification of motion artifacts in ambulatory electrocardiography was performed by autoregressive models. Additionally, the obtained signal from the mathematical model and its performance are shown.

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Author information

Authors and Affiliations

  1. Bioinstrumentation and Clinical Engineering Research Group - GIBIC, Bioengineering Department, Engineering Faculty, Universidad de Antioquia UdeA, Calle 70 No. 52-21, Medellín, Colombia

    F. A. Castaño & A. M. Hernández

Authors
  1. F. A. Castaño
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  2. A. M. Hernández
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Corresponding author

Correspondence to F. A. Castaño .

Editor information

Editors and Affiliations

  1. Asociación Colombiana de Bioingeniería y Electrónica Médica - ABIOIN, Bucamaranga, Colombia

    Isnardo Torres

  2. Universidad Pontificia Bolivariana - UPB, Centro de Bioingeniería, Medellín, Colombia

    John Bustamante

  3. Universidad Industrial de Santander, Escuela de Ing. Eléctrica, Electrónica, Bucaramanga, Colombia

    Daniel A. Sierra

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© 2017 Springer Nature Singapore Pte Ltd.

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Castaño, F.A., Hernández, A.M. (2017). Autoregressive Models of Electrocardiographic Signal Contaminated with Motion Artifacts: Benchmark for Biomedical Signal Processing Studies. In: Torres, I., Bustamante, J., Sierra, D. (eds) VII Latin American Congress on Biomedical Engineering CLAIB 2016, Bucaramanga, Santander, Colombia, October 26th -28th, 2016. IFMBE Proceedings, vol 60. Springer, Singapore. https://doi.org/10.1007/978-981-10-4086-3_110

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  • DOI: https://doi.org/10.1007/978-981-10-4086-3_110

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-4085-6

  • Online ISBN: 978-981-10-4086-3

  • eBook Packages: EngineeringEngineering (R0)

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