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Stroke Rehabilitation: Detection of Finger Movements

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Hybrid Artificial Intelligent Systems (HAIS 2020)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 12344))

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Abstract

For several stroke cases, rehabilitation focuses on the pincer movements and grasps with the index and thumb fingers. The improvements in the coordination between these fingers guides the recovery of the subject. Obtaining a good measurement of these opening and closing movements is still unsolved, with robotic based high cost solutions. This research includes a preliminary study that analyses the use of tri-axial accelerometers to measure these movements and to evaluate the performance of the subjects. Under certain constraints, the solution has been found valid to detect the finger opening-closing pincer movements.

This research has been funded by the Spanish Ministry of Science and Innovation under project MINECO-TIN2017-84804-R and by the Grant FCGRUPIN-IDI/2018/000226 project from the Asturias Regional Government.

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Author information

Authors and Affiliations

  1. Instituto Tecnológico de Castilla y León, Burgos, Spain

    Diego Aranda-Orna & Javier Sedano

  2. Computer Science Department, University of Oviedo, Oviedo, Spain

    José R. Villar

Authors
  1. Diego Aranda-Orna
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  2. José R. Villar
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  3. Javier Sedano
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Corresponding author

Correspondence to José R. Villar .

Editor information

Editors and Affiliations

  1. University of Oviedo, Oviedo, Spain

    Enrique Antonio de la Cal

  2. University of Oviedo, Oviedo, Spain

    José Ramón Villar Flecha

  3. University of A Coruña, Ferrol, Spain

    Héctor Quintián

  4. University of Salamanca, Salamanca, Spain

    Emilio Corchado

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Aranda-Orna, D., Villar, J.R., Sedano, J. (2020). Stroke Rehabilitation: Detection of Finger Movements. In: de la Cal, E.A., Villar Flecha, J.R., Quintián, H., Corchado, E. (eds) Hybrid Artificial Intelligent Systems. HAIS 2020. Lecture Notes in Computer Science(), vol 12344. Springer, Cham. https://doi.org/10.1007/978-3-030-61705-9_61

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  • DOI: https://doi.org/10.1007/978-3-030-61705-9_61

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-61704-2

  • Online ISBN: 978-3-030-61705-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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