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Human Centered Mathematics: A Framework for Medical Applications Based on Extended Reality and Artificial Intelligence

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Enabling Person-Centric Healthcare Using Ambient Assistive Technology

Part of the book series: Studies in Computational Intelligence ((SCI,volume 1108))

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Abstract

Many of the called fourth revolution technologies have managed to venture into the field of health care, allowing the possibility of generating spaces and environments focused on the well-being of society. Consequently, artificial intelligence (AI), the internet of things and extended reality (XR), among other technologies, have the potential to improve people’s quality of life, achieving innovative developments that accompany the daily lives of people. People, in this case we look for the accompaniment of people's health, relying on doctors and health personnel in general. HuMath is a general framework for developing medical applications using XR and AI that has been in development for the past five years. This chapter extends the concept of Human-Centered Mathematics and develops the basic architecture of developments in physical and emotional rehabilitation, prioritization, and decision support using highly complex images. Our main contribution is materialized in the flexibility and adaptability of our developments, in addition to the applications made in the areas of emotional and physical rehabilitation and in the context of the COVID-19 pandemic in radiology. Additionally, we establish the method for the design of our cyber-physical systems under the Biodesign methodology oriented to the regulations in health systems, in an ethical context in the age of data, privacy and security. Some of our most outstanding results are the development of an upper limb rehabilitation framework, using intelligent adaptive control using virtual reality, a user interface for vIvAmed and the HuMAth-Curie user interface. They are all projects that have allowed the focus on people's health care.

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Acknowledgements

This work has been funded by the ColombianMinistry of Science, Technology, and Innovation (Minciencias-Ministerio de Ciencia, Tecnología e Innovación) with the project ”Exoskeleton for upper limb rehabilitation using intelligent control and virtual reality” (Exoesqueleto para rehabilitación de miembro superior usando control inteligente y realidad virtual) with code 120684468213.

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Authors and Affiliations

  1. Escuela de Ciencias Aplicadas e Ingeniería, Área de Computación y Analítica, Universidad EAFIT, Medellín, Colombia

    Yarlin A. Ortiz-Toro & O. L. Quintero

  2. Escuela de Artes y Humanidades, Área de Creación, Universidad EAFIT, Medellín, Colombia

    Christian Andrés Diaz León

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  1. Yarlin A. Ortiz-Toro
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  2. O. L. Quintero
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  3. Christian Andrés Diaz León
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Correspondence to Yarlin A. Ortiz-Toro .

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Editors and Affiliations

  1. National Research Council, Institute of Information Science and Technologies, Pisa, Italy

    Paolo Barsocchi

  2. Department of Computer Science and Engineering, Prasad V Potluri Siddhartha Institute of Technology, Vijayawada, India

    Naga Srinivasu Parvathaneni

  3. KIET Group of Institutions, Ghaziabad, India

    Amik Garg

  4. KIET Group of Institutions, Ghaziabad, India

    Akash Kumar Bhoi

  5. National Research Council, Institute of Information Science and Technologies, Pisa, Italy

    Filippo Palumbo

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Ortiz-Toro, Y.A., Quintero, O.L., León, C.A.D. (2023). Human Centered Mathematics: A Framework for Medical Applications Based on Extended Reality and Artificial Intelligence. In: Barsocchi, P., Parvathaneni, N.S., Garg, A., Bhoi, A.K., Palumbo, F. (eds) Enabling Person-Centric Healthcare Using Ambient Assistive Technology. Studies in Computational Intelligence, vol 1108. Springer, Cham. https://doi.org/10.1007/978-3-031-38281-9_3

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