Preprint Article Version 1 This version is not peer-reviewed

Sensor-Based Frailty Assessment Using Fitbit

Version 1 : Received: 7 November 2024 / Approved: 8 November 2024 / Online: 8 November 2024 (07:29:01 CET)

How to cite: Hosseinalizadeh, M.; Asghari, M.; Toosizadeh, N. Sensor-Based Frailty Assessment Using Fitbit. Preprints 2024, 2024110584. https://doi.org/10.20944/preprints202411.0584.v1 Hosseinalizadeh, M.; Asghari, M.; Toosizadeh, N. Sensor-Based Frailty Assessment Using Fitbit. Preprints 2024, 2024110584. https://doi.org/10.20944/preprints202411.0584.v1

Abstract

This study evaluates the reliability of Fitbit in assessing frailty based on motor and heart rate (HR) parameters through a validated upper extremity function (UEF) test, which involves 20 seconds of rapid elbow flexion. For motor performance, participants completed six trials of full elbow flexion using their right arm, with and without weight. Fitbit and a commercial motion sensor were worn on the right arm. For HR measurements, an ECG system was placed on the left chest alongside the Fitbit on the left wrist. Motor parameters assessing speed, flexibility, weakness, exhaustion, and HR before, during, and after UEF were measured. A total of 42 participants (age=22.022.67) were recruited. For motor parameters, excellent agreement was observed between the wearable sensor and Fitbit, except for flexibility (ICC=0.870.09). For HR parameters, ICC values showed weak agreement between ECG and Fitbit for HR increase and recovery (ICC=0.240.11), while moderate to stronger agreement was seen for mean HR during baseline, task, and post-task (ICC=0.810.13). Fitbit is a reliable tool for assessing frailty through motor parameters and provides reasonably accurate HR estimates during baseline, task, and recovery periods. However, Fitbit ability to track rapid HR changes during activity is limited.

Keywords

Frailty assessment; Wearable sensor; Fitbit smartwatch; Motor performance; Heart rate (HR) monitoring

Subject

Engineering, Bioengineering

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