IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v13y2016i12p1176-d83660.html
   My bibliography  Save this article

A Robot-Based Tool for Physical and Cognitive Rehabilitation of Elderly People Using Biofeedback

Author

Listed:
  • Leire Lopez-Samaniego

    (eVida/DeustoTech-LIFE Lab., University of Deusto, Bilbao 48007, Spain)

  • Begonya Garcia-Zapirain

    (eVida/DeustoTech-LIFE Lab., University of Deusto, Bilbao 48007, Spain)

Abstract

This publication presents a complete description of a technological solution system for the physical and cognitive rehabilitation of elderly people through a biofeedback system, which is combined with a Lego robot. The technology used was the iOS’s (iPhone Operating System) Objective-C programming language and its XCode programming environment; and SQLite in order to create the database. The biofeedback system is implemented by the use of two biosensors which are, in fact, a Microsoft band 2 in order to register the user’s heart rate and a MYO sensor to detect the user’s arm movement. Finally, the system was tested with seven elderly people from La Santa y Real Casa de la Misericordia nursing home in Bilbao. The statistical assessment has shown that the users are satisfied with the usability of the system, with a mean score of 79.29 on the System Usability Scale (SUS) questionnaire.

Suggested Citation

  • Leire Lopez-Samaniego & Begonya Garcia-Zapirain, 2016. "A Robot-Based Tool for Physical and Cognitive Rehabilitation of Elderly People Using Biofeedback," IJERPH, MDPI, vol. 13(12), pages 1-14, November.
    • Handle: RePEc:gam:jijerp:v:13:y:2016:i:12:p:1176-:d:83660
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/13/12/1176/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/13/12/1176/
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Eunji Lee, 2019. "Taming Performance Variability of Healthcare Data Service Frameworks with Proactive and Coarse-Grained Memory Cleaning," IJERPH, MDPI, vol. 16(17), pages 1-13, August.
    2. Marcia G. Ory & Matthew Lee Smith, 2017. "What If Healthy Aging Is the ‘New Normal’?," IJERPH, MDPI, vol. 14(11), pages 1-5, November.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:13:y:2016:i:12:p:1176-:d:83660. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.