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The RPM3D Project: 3D Kinematics for Remote Patient Monitoring

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Intertwining Graphonomics with Human Movements (IGS 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13424))

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Abstract

This project explores the feasibility of remote patient monitoring based on the analysis of 3D movements captured with smartwatches. We base our analysis on the Kinematic Theory of Rapid Human Movement. We have validated our research in a real case scenario for stroke rehabilitation at the Guttmann Institute (https://www.guttmann.com/en/) (neurorehabilitation hospital), showing promising results. Our work could have a great impact in remote healthcare applications, improving the medical efficiency and reducing the healthcare costs. Future steps include more clinical validation, developing multi-modal analysis architectures (analysing data from sensors, images, audio, etc.), and exploring the application of our technology to monitor other neurodegenerative diseases.

Supported by the ATTRACT project funded by the EC under Grant Agreement 777222.

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Notes

  1. 1.

    The Burden of Stroke in Europe: http://www.strokeeurope.eu/.

  2. 2.

    http://dag.cvc.uab.es/patientmonitoring/.

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Acknowledgement

This work has been partially supported by the Spanish project RTI2018-095645-B-C21, the CERCA Program/Generalitat de Catalunya and the FI fellowship AGAUR 2020 FI-SDUR 00497 (with the support of the Secretaria d’Universitats i Recerca of the Generalitat de Catalunya and the Fons Social Europeu).

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Authors and Affiliations

  1. Computer Vision Center, Computer Science Department, Universitat Autònoma de Barcelona, Barcelona, Spain

    Alicia Fornés, Asma Bensalah, Jialuo Chen & Josep Lladós

  2. Universidad de Las Palmas de Gran Canaria, Municipality of Las Palmas, Spain

    Cristina Carmona-Duarte & Miguel A. Ferrer

  3. Institute of Complex Systems, University of Applied Sciences and Arts Western Switzerland, Fribourg, Switzerland

    Andreas Fischer & Anna Scius-Bertrand

  4. Institut Guttmann, Neurorehabilitation Institute, Camí de Can s/n, 08916, Badalona, Spain

    Cristina Martín, Eloy Opisso, Réjean Plamondon & Josep Maria Tormos

  5. Département de Génie Électrique, Polytechnique Montréal, Montréal, Canada

    Cristina Martín, Eloy Opisso, Réjean Plamondon & Josep Maria Tormos

Authors
  1. Alicia Fornés
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  2. Asma Bensalah
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  3. Cristina Carmona-Duarte
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  4. Jialuo Chen
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  5. Miguel A. Ferrer
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  6. Andreas Fischer
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  7. Josep Lladós
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  8. Cristina Martín
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  9. Eloy Opisso
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  10. Réjean Plamondon
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  11. Anna Scius-Bertrand
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  12. Josep Maria Tormos
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Corresponding author

Correspondence to Andreas Fischer .

Editor information

Editors and Affiliations

  1. Universidad de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain

    Cristina Carmona-Duarte

  2. Universidad de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain

    Moises Diaz

  3. Universidad de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain

    Miguel A. Ferrer

  4. Universidad Autónoma de Madrid, Madrid, Spain

    Aythami Morales

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Fornés, A. et al. (2022). The RPM3D Project: 3D Kinematics for Remote Patient Monitoring. In: Carmona-Duarte, C., Diaz, M., Ferrer, M.A., Morales, A. (eds) Intertwining Graphonomics with Human Movements. IGS 2022. Lecture Notes in Computer Science, vol 13424. Springer, Cham. https://doi.org/10.1007/978-3-031-19745-1_16

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  • DOI: https://doi.org/10.1007/978-3-031-19745-1_16

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  • Online ISBN: 978-3-031-19745-1

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