Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Accuracy and Precision01:52

Accuracy and Precision

13.7K
Scientists typically make repeated measurements of a quantity to ensure the quality of their findings and to evaluate both the precision and the accuracy of their results. Measurements are said to be precise if they yield very similar results when repeated in the same manner. A measurement is considered accurate if it yields a result that is very close to the true or the accepted value. Precise values agree with each other; accurate values agree with a true value.  Highly accurate...
13.7K
Uncertainty in Measurement: Accuracy and Precision03:37

Uncertainty in Measurement: Accuracy and Precision

98.9K
Scientists typically make repeated measurements of a quantity to ensure the quality of their findings and to evaluate both the precision and the accuracy of their results. Measurements are said to be precise if they yield very similar results when repeated in the same manner. A measurement is considered accurate if it yields a result that is very close to the true or the accepted value. Precise values agree with each other; accurate values agree with a true value. 
98.9K
Special considerations while measuring pulse01:13

Special considerations while measuring pulse

813
Assessing a patient's pulse is a fundamental skill in healthcare, but certain situations require special attention:
813
Errors in Global Positioning System01:26

Errors in Global Positioning System

249
Global Positioning System (GPS) technology has revolutionized navigation and positioning, but its accuracy is often compromised by various errors. These errors, stemming from environmental, satellite, and receiver-related factors, require careful mitigation to ensure reliable performance across applications.Atmospheric ErrorsGPS signals travel through the Earth’s ionosphere and troposphere, introducing delays which affect accuracy. The ionosphere is strongly influenced by charged particles,...
249
Pulse rhythm01:30

Pulse rhythm

1.2K
Pulse rhythm refers to the pattern of pulsations within specific intervals, offering valuable insights into the regularity or irregularity of the heart's beats as observed through the pattern of pulsation within specific intervals. A regular pulse exhibits a consistent heart rate with uniform waveforms and pulsation force, variations of which can be classified as normal, weak, or bounding.
Conversely, an irregular pulse pattern is termed dysrhythmia, stemming from disruptions in cardiac...
1.2K
Assessment of Ventilation I: Respiratory Rate01:20

Assessment of Ventilation I: Respiratory Rate

1.7K
Assessment of Ventilation
A Ventilation assessment is critical for monitoring a patient's health status. Respiration, one of the most accessible vital signs, provides insights into the function of numerous body systems and can indicate serious health issues, such as brainstem injuries from head trauma.
Critical Guidelines for Assessing Ventilation:
1.7K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

A Multi-Modular Human-AI Workflow for LLM-Assisted Thematic Analysis: Application to COPD Telerehabilitation Interviews.

Studies in health technology and informatics·2026
Same author

Association of Remote Patient Monitoring with Care Utilization in Patients with Chronic Cardiopulmonary Conditions.

Studies in health technology and informatics·2026
Same author

Machine Learning Approaches for Mortality Prediction in ARDS.

Studies in health technology and informatics·2026
Same author

Estimating Mosaic Loss of the Y Chromosome in Male Bladder Cancer Participants Using "All of Us" Data.

Studies in health technology and informatics·2026
Same author

Early Prediction of Delirium in ICU Patients Using Machine Learning Analysis of Admission Data.

Studies in health technology and informatics·2026
Same author

Multimodule Human-Artificial Intelligence Collaboration Pipeline for Large Language Model-Assisted Thematic Analysis Across Digital Health Interview Studies: Comparative Evaluation Study.

JMIR medical informatics·2026

Related Experiment Video

Updated: Dec 16, 2025

Assessing the Accuracy of Fitness Smartwatch Data for Cardiovascular and Physical Activity Monitoring: A Validation Study in Digital Health
05:51

Assessing the Accuracy of Fitness Smartwatch Data for Cardiovascular and Physical Activity Monitoring: A Validation Study in Digital Health

Published on: February 21, 2025

1.1K

Fitbit Accuracy Depends on Activity Pace and Placement Location.

Chenhao Wei1, Daniel Robins1, Joseph Finkelstein1

  • 1Icahn School of Medicine at Mount Sinai, NY, USA.

Studies in Health Technology and Informatics
|July 2, 2020
PubMed
Summary
This summary is machine-generated.

Fitbit activity trackers show varying step count accuracy based on placement and stair-climbing pace. Medium pace climbing yielded the most consistent results, while slow pace showed significant variability, impacting overall step count reporting accuracy.

Keywords:
Activity TrackingMeasurement AccuracyMovement MeasurementTracker Position Affects

More Related Videos

Assessment of Physical Activity Intensity with Accelerometers and Oxygen Consumption
08:45

Assessment of Physical Activity Intensity with Accelerometers and Oxygen Consumption

Published on: June 20, 2025

382
A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program
04:24

A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program

Published on: April 19, 2019

12.1K

Related Experiment Videos

Last Updated: Dec 16, 2025

Assessing the Accuracy of Fitness Smartwatch Data for Cardiovascular and Physical Activity Monitoring: A Validation Study in Digital Health
05:51

Assessing the Accuracy of Fitness Smartwatch Data for Cardiovascular and Physical Activity Monitoring: A Validation Study in Digital Health

Published on: February 21, 2025

1.1K
Assessment of Physical Activity Intensity with Accelerometers and Oxygen Consumption
08:45

Assessment of Physical Activity Intensity with Accelerometers and Oxygen Consumption

Published on: June 20, 2025

382
A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program
04:24

A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program

Published on: April 19, 2019

12.1K

Area of Science:

  • Wearable technology
  • Biomedical engineering
  • Human movement analysis

Background:

  • Activity trackers like Fitbit are widely used for health monitoring.
  • Accurate step counting is crucial for objective physical activity assessment.
  • Variability in tracker placement and activity intensity can influence data reliability.

Purpose of the Study:

  • To assess the concordance of step counts from Fitbit devices placed on different body locations.
  • To evaluate how stair-climbing pace (fast, medium, slow) affects Fitbit step count accuracy.
  • To determine the impact of location and pace on the reliability of step count data.

Main Methods:

  • Nine participants performed stair-climbing at three distinct paces (fast, medium, slow).
  • Five Fitbit activity trackers were worn concurrently by each participant.
  • Variability metrics (variance, standard deviation, range) analyzed step count concordance across locations and paces.

Main Results:

  • Statistically significant differences in step count variance, standard deviation, and range were observed based on tracker location and movement pace.
  • Medium-pace stair climbing resulted in the least variance (25.9±24.5) and smallest SD (4.0±2.3).
  • Slow-pace stair climbing exhibited the greatest variance (1770.9±3307.5) and SD (27.6±27.1).

Conclusions:

  • The location of Fitbit trackers and the pace of stair climbing significantly influence step count concordance.
  • Inconsistent step counts across different conditions may compromise the overall accuracy of activity tracking.
  • Further research is needed to optimize tracker placement and activity protocols for enhanced step count reliability.