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Database for prevalence and determinants of frailty in the elderly with quantifying functional mobility

  • Agnieszka Szczȩsna
  • , Arslan Amjad
  • , Monika Błaszczyszyn
  • , Magdalena Sacha
  • , Piotr Feusette
  • , Robert Zieliński
  • , Piotr Wittek
  • , Wojciech Wolański
  • , Mariusz Konieczny
  • , Zbigniew Borysiuk
  • , Jerzy Sacha
  • Silesian University of Technology
  • Opole University of Technology
  • University of Opole

Research output: Contribution to journalArticlepeer-review

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Abstract

Frailty is a common condition in older adults, characterized, among other things, by impairments in gait and movement patterns. The proposed FRAILPOL repository addresses the critical gap in geriatric research by offering a comprehensive, open-access, five body-worn inertial sensors (ankles, wrists, and back of sacrum) signals recorded during the Time Up and Go test of 668 participants, community-dwelling older adults. The gait data, as well as the stride-based spatio-temporal parameters along with demographic and health-related information, including cognitive health data, have been grouped according to established clinical criteria into three classes (robust, pre-frailty, and frailty). The technical verification includes classification by reporting results for both binary (robust, frailty) and multi-class (robust, pre-frailty, frailty) classification using classical machine learning models with acceptable accuracy.

Original languageEnglish
Article number478
Number of pages14
JournalScientific Data
Volume13
Issue number1
DOIs
Publication statusPublished - 18 Feb 2026
Externally publishedYes

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