Assessment of the Fitbit Charge 2 for monitoring heart rate

Fitness trackers are devices or applications for monitoring and tracking fitness-related metrics such as distance walked or run, calorie consumption, quality of sleep and heart rate. Since accurate heart rate monitoring is essential in fitness training, the objective of this study was to assess the...

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Published inPloS one Vol. 13; no. 2; p. e0192691
Main Authors Benedetto, Simone, Caldato, Christian, Bazzan, Elia, Greenwood, Darren C, Pensabene, Virginia, Actis, Paolo
Format Journal Article
LanguageEnglish
Published United States Public Library of Science 28.02.2018
Public Library of Science (PLoS)
Subjects
Accuracy
Actigraphy - methods
Activity trackers
Biology and Life Sciences
Blood
Electrical engineering
Engineering and Technology
Evaluation
Exercise
Fitness
Heart monitors
Heart Rate
Humans
International conferences
Measurement techniques
Medical electronics
Medicine
Medicine and Health Sciences
Metabolism
Methods
Monitoring
Monitoring, Physiologic
Physical fitness
Physiology
Research and Analysis Methods
Sleep
Studies
Supervision
Tracking devices
Italy
San Francisco California
United Kingdom > UK
United States > US
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Abstract Fitness trackers are devices or applications for monitoring and tracking fitness-related metrics such as distance walked or run, calorie consumption, quality of sleep and heart rate. Since accurate heart rate monitoring is essential in fitness training, the objective of this study was to assess the accuracy and precision of the Fitbit Charge 2 for measuring heart rate with respect to a gold standard electrocardiograph. Fifteen healthy participants were asked to ride a stationary bike for 10 minutes and their heart rate was simultaneously recorded from each device. Results showed that the Fitbit Charge 2 underestimates the heart rate. Although the mean bias in measuring heart rate was a modest -5.9 bpm (95% CI: -6.1 to -5.6 bpm), the limits of agreement, which indicate the precision of individual measurements, between the Fitbit Charge 2 and criterion measure were wide (+16.8 to -28.5 bpm) indicating that an individual heart rate measure could plausibly be underestimated by almost 30 bpm.
AbstractList Fitness trackers are devices or applications for monitoring and tracking fitness-related metrics such as distance walked or run, calorie consumption, quality of sleep and heart rate. Since accurate heart rate monitoring is essential in fitness training, the objective of this study was to assess the accuracy and precision of the Fitbit Charge 2 for measuring heart rate with respect to a gold standard electrocardiograph. Fifteen healthy participants were asked to ride a stationary bike for 10 minutes and their heart rate was simultaneously recorded from each device. Results showed that the Fitbit Charge 2 underestimates the heart rate. Although the mean bias in measuring heart rate was a modest -5.9 bpm (95% CI: -6.1 to -5.6 bpm), the limits of agreement, which indicate the precision of individual measurements, between the Fitbit Charge 2 and criterion measure were wide (+16.8 to -28.5 bpm) indicating that an individual heart rate measure could plausibly be underestimated by almost 30 bpm.
Audience Academic
Author Greenwood, Darren C
Caldato, Christian
Pensabene, Virginia
Benedetto, Simone
Bazzan, Elia
Actis, Paolo
AuthorAffiliation 5 School of Medicine, Leeds Institute of Biomedical and Clinical Sciences, University of Leeds, Leeds, West Yorkshire, United Kingdom
1 TSW XP Lab, Treviso, Italy
3 Leeds Institute for Data Analytics, University of Leeds, Leeds, United Kingdom
University of Illinois at Urbana-Champaign, UNITED STATES
2 Leeds Institute for Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, United Kingdom
4 School of Electronic and Electrical Engineering, University of Leeds, Leeds, West Yorkshire, United Kingdom
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– name: 4 School of Electronic and Electrical Engineering, University of Leeds, Leeds, West Yorkshire, United Kingdom
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– name: University of Illinois at Urbana-Champaign, UNITED STATES
– name: 2 Leeds Institute for Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, United Kingdom
– name: 1 TSW XP Lab, Treviso, Italy
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  givenname: Simone
  orcidid: 0000-0002-9169-513X
  surname: Benedetto
  fullname: Benedetto, Simone
  organization: TSW XP Lab, Treviso, Italy
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  givenname: Christian
  surname: Caldato
  fullname: Caldato, Christian
  organization: TSW XP Lab, Treviso, Italy
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  surname: Bazzan
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Copyright COPYRIGHT 2018 Public Library of Science
2018 Benedetto et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
2018 Benedetto et al 2018 Benedetto et al
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– notice: 2018 Benedetto et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
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Competing Interests: The authors declare that the funding organization (TSW XP Lab) only provided financial support in the form of authors’ salaries [SB, CC, EB] and/or research materials, and did not play a role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript. The specific roles of these authors are articulated in the “Author Contribution” section. The authors also confirm that this commercial affiliation does not alter their adherence to all PLOS ONE policies on sharing data and materials.
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Snippet Fitness trackers are devices or applications for monitoring and tracking fitness-related metrics such as distance walked or run, calorie consumption, quality...
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StartPage e0192691
SubjectTerms Accuracy
Actigraphy - methods
Activity trackers
Biology and Life Sciences
Blood
Electrical engineering
Engineering and Technology
Evaluation
Exercise
Fitness
Heart monitors
Heart Rate
Humans
International conferences
Measurement techniques
Medical electronics
Medicine
Medicine and Health Sciences
Metabolism
Methods
Monitoring
Monitoring, Physiologic
Physical fitness
Physiology
Research and Analysis Methods
Sleep
Studies
Supervision
Tracking devices
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Title Assessment of the Fitbit Charge 2 for monitoring heart rate
URI https://www.ncbi.nlm.nih.gov/pubmed/29489850
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http://dx.doi.org/10.1371/journal.pone.0192691
Volume 13
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