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Mobile Application for Aid in Identifying Fall Risk in Elderly: App Fisioberg

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XXVII Brazilian Congress on Biomedical Engineering (CBEB 2020)

Part of the book series: IFMBE Proceedings ((IFMBE,volume 83))

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Abstract

The fall of a person can occur at any stage of the individual’s life, but it is more frequent in elderly, representing a high social and economic impact on the country and the world. In this scenario, the prevention and measurement of the risk of falls are considered important markers of quality of life among elderly, because fall is a factor that can negatively impact quality, if occurs. Today, the public health system broadly encourages scientific studies that involve understanding the causes of the fall of the elderly, so that the effective prevention of this episode is achieved, reducing the demand and costs in public health. Thus, in this research, we developed and validated the App FisioBerg a mobile application, based on the Berg balance scale and the Visual Analog Scale (VAS); which assists health professionals in assessing the risk of falls and pain intensity in elderly. This is a technological development study of an application that was created using the App Inventor tool, with usability heuristics for the target audience (physiotherapy professionals and students). Professional physiotherapists (n = 4) and physiotherapy students from the tenth period (n = 10) participated in the usability test. The Questionnaire for User Interaction Satisfaction (QUIS) test was applied after the care of 30 elderly people from the Palmas TO region. The software was widely accepted by professionals and students in the study. The App FisioBerg has information and results sharing, presents the VAS scale, as a differential, besides not presenting advertisements. In conclusion, the application App Fisioberg has the main instruments to identify the risk of falls in the elderly, it is easy to operate, and generates a positive tendency for the adherence of health professionals and students in its use.

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Conflict of Interest

The authors declare that they have no conflict of interest.

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Authors and Affiliations

  1. Scientific and Technological Institute, Bioengineering Program, Universidade Brasil, Rua Carolina Fonseca, 235, São Paulo, Brazil

    D. C. Gonçalves & D. S. F. Magalhães

  2. Centro Universitário Católica do Tocantins, Palmas, Brazil

    F. P. Pinto

Authors
  1. D. C. Gonçalves
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  2. F. P. Pinto
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  3. D. S. F. Magalhães
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Corresponding author

Correspondence to D. S. F. Magalhães .

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Editors and Affiliations

  1. Department of Electrical Engineering, Universidade Federal do Espírito Santo, Vitória, Brazil

    Teodiano Freire Bastos-Filho

  2. Department of Electrical Engineering, Universidade Federal do Espírito Santo, Vitória, Brazil

    Eliete Maria de Oliveira Caldeira

  3. Department of Electrical Engineering, Universidade Federal do Espírito Santo, Vitória, Brazil

    Anselmo Frizera-Neto

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Gonçalves, D.C., Pinto, F.P., Magalhães, D.S.F. (2022). Mobile Application for Aid in Identifying Fall Risk in Elderly: App Fisioberg. In: Bastos-Filho, T.F., de Oliveira Caldeira, E.M., Frizera-Neto, A. (eds) XXVII Brazilian Congress on Biomedical Engineering. CBEB 2020. IFMBE Proceedings, vol 83. Springer, Cham. https://doi.org/10.1007/978-3-030-70601-2_201

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  • DOI: https://doi.org/10.1007/978-3-030-70601-2_201

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-70600-5

  • Online ISBN: 978-3-030-70601-2

  • eBook Packages: EngineeringEngineering (R0)

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