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Wavelet Transform Selection Method for Biological Signal Treatment

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Intelligent Human Computer Interaction (IHCI 2019)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11886))

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Abstract

This paper presents the development and evaluation of an algorithm for compressing fetal electrocardiographic signals, taken superficially on the mother’s abdomen. This method for acquiring ECG signals produces a great volumen of information that makes it difficult for the records to be stored and transmitted. The proposed algorithm aims for lossless compression of the signal by applying Wavelet Packet Transform to keep errors below the unit, with compression rates over 20:1 and with conserved energy in reconstruction as comparison parameter. For algorithm validation, the signal files provided by PhysioBank DataBase are used.

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Author information

Authors and Affiliations

  1. Vicerrectoría de Investigaciones, Universidad Manuela Beltrán, Bogotá, Colombia

    Gonzalo Jiménez & Carlos Andrés Collazos Morales

  2. Departamento de Ciencias de la Computación y Electrónica, Universidad de la Costa, Barranquilla, Colombia

    Emiro De-la-Hoz-Franco & Paola Ariza-Colpas

  3. Laboratório de Sistemas Complexos e Universalidades, Departamento de Física, Universidade Federal Rural de Pernambuco, Recife, Pernambuco, Brazil

    Ramón Enrique Ramayo González

  4. Universidad de la Sabana, Chía, Cundinamarca, Colombia

    Adriana Maldonado-Franco

Authors
  1. Gonzalo Jiménez
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  2. Carlos Andrés Collazos Morales
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  3. Emiro De-la-Hoz-Franco
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  4. Paola Ariza-Colpas
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  5. Ramón Enrique Ramayo González
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  6. Adriana Maldonado-Franco
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Correspondence to Gonzalo Jiménez .

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Editors and Affiliations

  1. Indian Institute of Information Technology, Allahabad, India

    Uma Shanker Tiwary

  2. Indian Institute of Technology, Jodhpur, India

    Santanu Chaudhury

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Jiménez, G., Collazos Morales, C.A., De-la-Hoz-Franco, E., Ariza-Colpas, P., González, R.E.R., Maldonado-Franco, A. (2020). Wavelet Transform Selection Method for Biological Signal Treatment. In: Tiwary, U., Chaudhury, S. (eds) Intelligent Human Computer Interaction. IHCI 2019. Lecture Notes in Computer Science(), vol 11886. Springer, Cham. https://doi.org/10.1007/978-3-030-44689-5_3

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  • DOI: https://doi.org/10.1007/978-3-030-44689-5_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-44688-8

  • Online ISBN: 978-3-030-44689-5

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