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Elderly frailty detection by using accelerometer-enabled smartphones and clinical information records

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Abstract

Elderly people become weak until they reach a state of frailty. At this time, their health begins to get worse and they are more likely to suffer bone fractures, disorders, and diseases, and they become dependent. Delaying or reducing frailty level is important to improve the quality of life of elderly people. There are many parameters to consider for frailty detection and diagnosis. In this sense, assessment of physical condition, through gait and other physical exercises, is the most important domain in frailty evaluation. Nowadays, geriatricians and physiotherapists use several tests and scales based on indicators to provide scores related to physical assessment. However, these scores depend on the viewpoint of the geriatrician. So, the assessment contains a level of subjectivity. Besides, frailty detection includes the study of other indicators from nutritional, cognitive, and social domains. In this paper, we propose a system to support physicians determining an accurate and centralized elderly frailty diagnosis, by using an accelerometer-enabled mobile phone. The accelerometer collects data movement from physical activity and calculates a set of measures that are combined with clinical indicators (from tests and medical instruments) providing a frailty assessment to facilitate decision-making and the subsequent treatment.

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Notes

  1. Presence of one or more disorders in addition to a primary disease or disorder.

  2. http://www.nfc-forum.org.

  3. http://www.gps.gov.

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Acknowledgments

This work has been financed by the TIN2010-20510-C04-04 project from the Ministerio de Ciencia e Innovación (Spain).

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Authors and Affiliations

  1. MAmI Research Lab, Castilla-La Mancha University, Paseo de la Universidad, 4, 13071, Ciudad Real, Spain

    Jesús Fontecha, Ramón Hervás & José Bravo

  2. Residencia Asistida de Ancianos, Geriatric Service, Ciudad Real, Spain

    Fco. Javier Navarro

Authors
  1. Jesús Fontecha
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  2. Fco. Javier Navarro
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  3. Ramón Hervás
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  4. José Bravo
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Correspondence to Jesús Fontecha.

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Fontecha, J., Navarro, F.J., Hervás, R. et al. Elderly frailty detection by using accelerometer-enabled smartphones and clinical information records. Pers Ubiquit Comput 17, 1073–1083 (2013). https://doi.org/10.1007/s00779-012-0559-5

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  • DOI: https://doi.org/10.1007/s00779-012-0559-5

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