Literature DB >> 33866152

Accuracy of Xiaomi Mi Band 2.0, 3.0 and 4.0 to measure step count and distance for physical activity and healthcare in adults over 65 years.

José Pino-Ortega1, Carlos D Gómez-Carmona2, Markel Rico-González3.   

Abstract

BACKGROUND: The measurement of step count and distance covered are of interest in healthcare and rehabilitation medicine, so fitness trackers and smartwatches have incorporated these metrics. In 2014, the introduction of new brands of these devices peaked, although the highest number of new devices was introduced in 2015. Even though Mi Band Xiaomi was among the top 5 regarding sales, it is not at the top of the fitness bands considered in research articles. RESEARCH QUESTION: this study aimed to assess the validity of Xiaomi Mi Band 2.0, 3.0 and 4.0 for recording steps and distance covered.
METHOD: The data were recorded from 26 elderly adults (71.2 ± 3.2 years old; 169.3 ± 5.8 height; 72.1 ± 9.2 weight), who covered the maximum distance possible at walking speed in a delimited outdoor space following different trajectories to compare data with the criterion measure, using three wristband devices (Xiaomi Mi Band versions 2.0, 3.0. and 4.0.).
RESULTS: In step count, the average bias was small (<2.6 steps) and no statistical differences were found between instruments (p > 0.76; t=0.30). However, Xiaomi Mi Band 4.0 obtained questionable validity (ICC = 0.76) for distance estimation. SIGNIFICANCE: The accuracy of Mi Band Xiaomi 2.0., 3.0. and 4.0. may be considered as good to count the number of steps for physical activity monitoring, whereas distance estimation is considered questionable.
Copyright © 2021 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Fitness trackers; Internet of things; Motor activity; Sedentary living; Validity

Year:  2021        PMID: 33866152     DOI: 10.1016/j.gaitpost.2021.04.015

Source DB:  PubMed          Journal:  Gait Posture        ISSN: 0966-6362            Impact factor:   2.840


  2 in total

1.  Tourist Experiences Recommender System Based on Emotion Recognition with Wearable Data.

Authors:  Luz Santamaria-Granados; Juan Francisco Mendoza-Moreno; Angela Chantre-Astaiza; Mario Munoz-Organero; Gustavo Ramirez-Gonzalez
Journal:  Sensors (Basel)       Date:  2021-11-25       Impact factor: 3.576

2.  Is the Xiaomi Mi Band 4 an Accuracy Tool for Measuring Health-Related Parameters in Adults and Older People? An Original Validation Study.

Authors:  Ana de la Casa Pérez; Pedro Ángel Latorre Román; Marcos Muñoz Jiménez; Manuel Lucena Zurita; José Alberto Laredo Aguilera; Juan Antonio Párraga Montilla; José Carlos Cabrera Linares
Journal:  Int J Environ Res Public Health       Date:  2022-01-30       Impact factor: 3.390

  2 in total

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