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Characterization of Home-Acquired Blood Pressure Time Series Using Multiscale Entropy for Patients Treated Against Kidney Cancer

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Internet of Things (IoT) Technologies for HealthCare (HealthyIoT 2017)

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Abstract

This study deals with the telemonitoring, with a connected tensiometer, of 16 patients treated for a kidney cancer. Each one of these patients recorded his/her blood pressure at home during 63 days and the data was sent to his/her medical doctor. At the same time they were treated with antihypertensive medication when necessary. In this work, our goal was to analyze the complexity of the blood pressure time series. For this purpose, we proposed to use the refined composite multiscale entropy (RCMSE) measures. Our results show that the patterns of RCMSE through temporal scales evolve with the antihypertensive medication. The later might therefore have an impact on home-acquired blood pressure complexity. RCMSE could therefore be an interesting information theory-based tool to study home-acquired physiological data.

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Notes

  1. 1.

    Vascular Endothelial Growth Factor.

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Authors and Affiliations

  1. LARIS, Université d’Angers, 62 Avenue Notre-Dame du Lac, 49000, Angers, France

    Antoine Jamin, Jean-Baptiste Fasquel, Anne Humeau-Heurtier & Samir Henni

  2. Vascular Departement and MITOVASC, University Hospital Center of Angers, Angers, France

    Pierre Abraham & Samir Henni

  3. Vascular Departement, University Hospital Center of Nice, Nice, France

    Georges Leftheriotis

Authors
  1. Antoine Jamin
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  2. Jean-Baptiste Fasquel
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  3. Anne Humeau-Heurtier
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  4. Pierre Abraham
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  5. Georges Leftheriotis
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  6. Samir Henni
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Corresponding author

Correspondence to Antoine Jamin .

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Editors and Affiliations

  1. Mälardalen University, Västerås, Sweden

    Mobyen Uddin Ahmed

  2. Mälardalen University, Västerås, Sweden

    Shahina Begum

  3. University of Angers, Angers, France

    Jean-Baptiste Fasquel

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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Jamin, A., Fasquel, JB., Humeau-Heurtier, A., Abraham, P., Leftheriotis, G., Henni, S. (2018). Characterization of Home-Acquired Blood Pressure Time Series Using Multiscale Entropy for Patients Treated Against Kidney Cancer. In: Ahmed, M., Begum, S., Fasquel, JB. (eds) Internet of Things (IoT) Technologies for HealthCare. HealthyIoT 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 225. Springer, Cham. https://doi.org/10.1007/978-3-319-76213-5_6

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  • DOI: https://doi.org/10.1007/978-3-319-76213-5_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-76212-8

  • Online ISBN: 978-3-319-76213-5

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