Literature DB >> 33513712

Study Protocol on the Validation of the Quality of Sleep Data from Xiaomi Domestic Wristbands.

Patricia Concheiro-Moscoso1,2, Francisco José Martínez-Martínez1, María Del Carmen Miranda-Duro1,2, Thais Pousada1,2, Laura Nieto-Riveiro1,2, Betania Groba1,2, Francisco Javier Mejuto-Muiño3, Javier Pereira1,2.   

Abstract

(1) Background: Sleep disorders are a common problem for public health since they are considered potential triggers and predictors of some mental and physical diseases. Evaluating the sleep quality of a person may be a first step to prevent further health issues that diminish their independence and quality of life. Polysomnography (PSG) is the "gold standard" for sleep studies, but this technique presents some drawbacks. Thus, this study intends to assess the capability of the new Xiaomi Mi Smart Band 5 to be used as a tool for sleep self-assessment. (2)
Methods: This study will be an observational and prospective study set at the sleep unit of a hospital in A Coruña, Spain. Forty-three participants who meet the inclusion criteria will be asked to participate. Specific statistical methods will be used to analyze the data collected using the Xiaomi Mi Smart Band 5 and PSG. (3) Discussion: This study offers a promising approach to assess whether the Xiaomi Mi Smart Band 5 correctly records our sleep. Even though these devices are not expected to replace PSG, they may be used as an initial evaluation tool for users to manage their own sleep quality and, if necessary, consult a health professional. Further, the device may help users make simple changes to their habits to improve other health issues as well. Trial registration: NCT04568408 (Registered 23 September 2020).

Entities:  

Keywords:  Xiaomi Mi Smart Band 5; daily life activities; health promotion; internet of things; occupation; participatory health; polysomnography; sleep; wearable technology

Mesh:

Year:  2021        PMID: 33513712      PMCID: PMC7908130          DOI: 10.3390/ijerph18031106

Source DB:  PubMed          Journal:  Int J Environ Res Public Health        ISSN: 1660-4601            Impact factor:   3.390


  56 in total

1.  Relation between ambulatory actigraphy and laboratory polysomnography in insomnia practice and research.

Authors:  Dana Withrow; Thomas Roth; Gail Koshorek; Timothy Roehrs
Journal:  J Sleep Res       Date:  2019-04-02       Impact factor: 3.981

Review 2.  Polysomnography.

Authors:  Behrouz Jafari; Vahid Mohsenin
Journal:  Clin Chest Med       Date:  2010-06       Impact factor: 2.878

3.  [Looking for a more participative healthcare: sharing medical decision making].

Authors:  Paulina Bravo; Aixa Contreras; Lilisbeth Perestelo-Pérez; Jeanette Pérez-Ramos; Germán Málaga
Journal:  Rev Peru Med Exp Salud Publica       Date:  2013 Oct-Dec

4.  Validity of Actigraphy in Young Adults With Insomnia.

Authors:  Jacob M Williams; Daniel J Taylor; Danica C Slavish; Christie E Gardner; Marian R Zimmerman; Kruti Patel; David A Reichenberger; Jade M Francetich; Jessica R Dietch; Rosemary Estevez
Journal:  Behav Sleep Med       Date:  2018-11-25       Impact factor: 2.964

5.  Field-based Measurement of Sleep: Agreement between Six Commercial Activity Monitors and a Validated Accelerometer.

Authors:  Andrew G Kubala; Bethany Barone Gibbs; Daniel J Buysse; Sanjay R Patel; Martica H Hall; Christopher E Kline
Journal:  Behav Sleep Med       Date:  2019-08-27       Impact factor: 2.964

6.  Prevalence of narcolepsy and other sleep disorders and frequency of diagnostic tests from 2013-2016 in insured patients actively seeking care.

Authors:  John Acquavella; Reena Mehra; Morgan Bron; Joanna M-H Suomi; Gregory P Hess
Journal:  J Clin Sleep Med       Date:  2020-08-15       Impact factor: 4.062

7.  Use of Actigraphy for the Evaluation of Sleep Disorders and Circadian Rhythm Sleep-Wake Disorders: An American Academy of Sleep Medicine Clinical Practice Guideline.

Authors:  Michael T Smith; Christina S McCrae; Joseph Cheung; Jennifer L Martin; Christopher G Harrod; Jonathan L Heald; Kelly A Carden
Journal:  J Clin Sleep Med       Date:  2018-07-15       Impact factor: 4.062

8.  User Acceptance of Wrist-Worn Activity Trackers Among Community-Dwelling Older Adults: Mixed Method Study.

Authors:  Arjun Puri; Ben Kim; Olivier Nguyen; Paul Stolee; James Tung; Joon Lee
Journal:  JMIR Mhealth Uhealth       Date:  2017-11-15       Impact factor: 4.773

9.  Assessment of a wireless headband for automatic sleep scoring.

Authors:  H Griessenberger; D P J Heib; A B Kunz; K Hoedlmoser; M Schabus
Journal:  Sleep Breath       Date:  2012-09-21       Impact factor: 2.816

10.  Sleep disorders as primary and secondary factors in relation with daily functioning in medical students.

Authors:  Deldar Morad Abdulah; Rasoul Sabri Piro
Journal:  Ann Saudi Med       Date:  2018 Jan-Feb       Impact factor: 1.526

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  1 in total

1.  Use of the Xiaomi Mi Band for sleep monitoring and its influence on the daily life of older people living in a nursing home.

Authors:  Patricia Concheiro-Moscoso; Betania Groba; Francisco José Martínez-Martínez; María Del Carmen Miranda-Duro; Laura Nieto-Riveiro; Thais Pousada; Javier Pereira
Journal:  Digit Health       Date:  2022-08-29
  1 in total

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