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Metabolic.Care: A Novel Solution Based on a Thermography for Detection of Diabetic Foot

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Ambient Intelligence- Software and Applications – 7th International Symposium on Ambient Intelligence (ISAmI 2016) (ISAmI 2016)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 476))

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Abstract

The use of computer supported diagnosis for the early detection of illness-related complications is of utmost importance not only for the ill individual, but also for the society in general. This paper describes one approach to address the early detection of complications in diabetic feet, achieved by the use of a new device created using out-of-the box components, and complemented with a software ecosystem. This paper describes the solution and the ongoing research.

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Author information

Authors and Affiliations

  1. ALLab Ambient Living Computing and Telecommunications Laboratory, Instituto de Telecomunicações, Universidade da Beira Interior, Rua Marquês d’Ávila e Bolama, 6201-001, Covilhã, Portugal

    Virginie Felizardo, Hugo Rodrigues, Nuno C. Garcia, Celina Alexandre, Daniel Oliveira, Paula Sousa, Nuno M. Garcia & Nuno Pombo

  2. Computer Science Department, Faculty of Engineering, University of Beira Interior, Rua Marquês d’Ávila e Bolama, 6201-001, Covilhã, Portugal

    Virginie Felizardo, Celina Alexandre, Daniel Oliveira, Nuno M. Garcia & Nuno Pombo

  3. School for Communication, Architecture, Art and Information Technologies (ECATI), Lusophone University of Humanities and Technologies (ULHT), Campo Grande 376, 1749-024, Lisbon, Portugal

    Nuno M. Garcia

Authors
  1. Virginie Felizardo
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  2. Hugo Rodrigues
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  3. Nuno C. Garcia
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  4. Celina Alexandre
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  5. Daniel Oliveira
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  6. Paula Sousa
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  7. Nuno M. Garcia
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  8. Nuno Pombo
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Corresponding author

Correspondence to Nuno Pombo .

Editor information

Editors and Affiliations

  1. Plan 4 MIT-huset C435, University of Umea, Umea, Sweden

    Helena Lindgren

  2. Dept de Info y Automática, Universidad de Salamanca, Salamanca, Spain

    Juan F. De Paz

  3. Department of Informatics, Universidade do Minho, Braga, Portugal

    Paulo Novais

  4. Departamento de Sistemas Informáticos, University of Castilla-La Mancha, Albacete, Spain

    Antonio Fernández-Caballero

  5. Dept. of Information and Communication, Sunchon National University, 540-742, Korea (Republic of)

    Hyun Yoe

  6. ETS Ingeniería Informática, University of Sevilla, Sevilla, Spain

    Andres Jiménez Ramírez

  7. Departamento de Informática y Automática, Universidad de Salamanca, Salamanca, Spain

    Gabriel Villarrubia

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© 2016 Springer International Publishing Switzerland

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Cite this paper

Felizardo, V. et al. (2016). Metabolic.Care: A Novel Solution Based on a Thermography for Detection of Diabetic Foot. In: Lindgren, H., et al. Ambient Intelligence- Software and Applications – 7th International Symposium on Ambient Intelligence (ISAmI 2016). ISAmI 2016. Advances in Intelligent Systems and Computing, vol 476. Springer, Cham. https://doi.org/10.1007/978-3-319-40114-0_13

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  • DOI: https://doi.org/10.1007/978-3-319-40114-0_13

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-40113-3

  • Online ISBN: 978-3-319-40114-0

  • eBook Packages: EngineeringEngineering (R0)

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