About | Contact Us | Register | Login
ProceedingsSeriesJournalsSearchEAI
Pervasive Computing Technologies for Healthcare. 16th EAI International Conference, PervasiveHealth 2022, Thessaloniki, Greece, December 12-14, 2022, Proceedings

Research Article

Assessing Older Adult’s Gait Speed with Wearable Accelerometers in Community Settings: Validity and Reliability Study

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-031-34586-9_10,
        author={Antonio Cobo and Elena Villalba-Mora and Rodrigo P\^{e}rez-Rodr\^{\i}guez and Juan E. Medina and Paula Robles-Mateos and \^{A}ngel Rodr\^{\i}guez-Laso and Leocadio Rodr\^{\i}guez-Ma\`{o}as},
        title={Assessing Older Adult’s Gait Speed with Wearable Accelerometers in Community Settings: Validity and Reliability Study},
        proceedings={Pervasive Computing Technologies for Healthcare. 16th EAI International Conference, PervasiveHealth 2022, Thessaloniki, Greece, December 12-14, 2022, Proceedings},
        proceedings_a={PERVASIVEHEALTH},
        year={2023},
        month={6},
        keywords={gait speed wearabe accelerometer validity reliability},
        doi={10.1007/978-3-031-34586-9_10}
    }
    
  • Antonio Cobo
    Elena Villalba-Mora
    Rodrigo Pérez-Rodríguez
    Juan E. Medina
    Paula Robles-Mateos
    Ángel Rodríguez-Laso
    Leocadio Rodríguez-Mañas
    Year: 2023
    Assessing Older Adult’s Gait Speed with Wearable Accelerometers in Community Settings: Validity and Reliability Study
    PERVASIVEHEALTH
    Springer
    DOI: 10.1007/978-3-031-34586-9_10
Antonio Cobo1,*, Elena Villalba-Mora1, Rodrigo Pérez-Rodríguez2, Juan E. Medina1, Paula Robles-Mateos1, Ángel Rodríguez-Laso3, Leocadio Rodríguez-Mañas3
  • 1: Centre for Biomedical Technology (CTB)
  • 2: Fundación para la Investigación Biomédica del Hospital Universitario de Getafe
  • 3: CIBER de Fragilidad y Envejecimiento Saludable
*Contact email: antonio.cobo@ctb.upm.es

Abstract

We present the preliminary results of a validity and reliability study of two different state-of-the-art algorithms to estimate the gait speed of older adults in free-living conditions from the data collected by the ActiveUP wearable device. We described the ActiveUP wearable sensor together with its integration in a smart environment for frail and pre-frail older adults via an edge-computing architecture. A cross-sectional observational study was conducted. A sample of 18 people, 77.89 (6.47) y.o. 11 women, was recruited and their movement signals were recorded during short (2.4 m) and long (6 m) walking bouts. Validity, agreement, and reliability were assessed with Pearson’s correlation coefficient, with SEM and Bland-Altman limits of agreement (LOA), and with an ICC(A, 1) model of the intra-class correlation coefficient, respectively. Validity and reliability seemed to be good. However, the small size of our sample results in broad confidence intervals for the estimators. The agreement seems not to be good enough to trigger therapeutic responses. More studies are necessary to test whether the threshold for clinical tests is applicable under free-living conditions.

Keywords
gait speed wearabe accelerometer validity reliability
Published
2023-06-11
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-34586-9_10
Copyright © 2022–2025 ICST
EBSCOProQuestDBLPDOAJPortico
EAI Logo

About EAI

  • Who We Are
  • Leadership
  • Research Areas
  • Partners
  • Media Center

Community

  • Membership
  • Conference
  • Recognition
  • Sponsor Us

Publish with EAI

  • Publishing
  • Journals
  • Proceedings
  • Books
  • EUDL