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

Reliability and Validity01:29

Reliability and Validity

14.1K
Reliability and validity are two important considerations that must be made with any type of data collection. Reliability refers to the ability to consistently produce a given result. In the context of psychological research, this would mean that any instruments or tools used to collect data do so in consistent, reproducible ways.
14.1K
Distribution Reliability and Automation01:25

Distribution Reliability and Automation

521
Distribution reliability in electrical power systems is critical for ensuring an uninterrupted power supply to consumers at minimal cost. According to IEEE Standard Terms, reliability is the probability that a device will function without failure over a specified time period or amount of usage. For electric power distribution, this translates to maintaining continuous power supply and addressing customer concerns over power outages. Several indices, as defined by IEEE Standard 1366-2012, are...
521
Data Validation01:15

Data Validation

2.4K
Method validation is a crucial process in analytical chemistry designed to confirm that a given method consistently produces reliable and high-quality results. This process is essential when a method is applied to different sample matrices or when procedural modifications are made, ensuring that the results meet acceptable standards across various applications.
Key parameters for method validation include:
2.4K
Data Validation01:03

Data Validation

7.0K
Data validation is an essential part of a comprehensive assessment. Validation is confirming or verifying and opening the door to gathering more assessment data as it clarifies vague or unclear data. The process of checking and verifying the collected information is called data validation. The primary purpose of data validation is to ensure data is as free from error, bias, and misinterpretation as possible.
Nursing assessment guides are generally based on holistic models rather than medical...
7.0K
Formulating and Validating Nursing Diagnosis I01:26

Formulating and Validating Nursing Diagnosis I

4.1K
A nursing diagnosis is written when the nurse recognizes a cluster of essential patient data indicating health problems treated with independent nursing interventions. The standardized terminologies of a nursing diagnosis help nurses identify and treat patients' problems. Every electronic health record that uses nursing diagnosis must employ standard diagnostic terminology. Developing an efficient, individualized care plan begins with accurate nursing diagnoses.
There are thirteen domains...
4.1K
Formulating and Validating Nursing Diagnosis II01:25

Formulating and Validating Nursing Diagnosis II

4.1K
Nursing diagnoses represent a problem validated by major defining characteristics. There are four categories of nursing diagnoses: problem-focused, risk, health promotion or wellness, and syndrome. The anatomy of a nursing diagnosis includes three components: problem statement or diagnostic label, defining characteristics, and related factors.
Risk nursing diagnoses represent clinical judgments of an individual, family, or community more vulnerable to developing the health problem than others...
4.1K

You might also read

Related Articles

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

Sort by
Same author

A Markerless Approach for Full-Body Biomechanics of Horses.

Animals : an open access journal from MDPI·2025
Same author

A commentary of factors related to player availability and its influence on performance in elite team sports.

Frontiers in sports and active living·2023
Same author

Comparison of the most demanding scenarios during different in-season training sessions and official matches in professional basketball players.

Biology of sport·2022
Same author

Epidemiology and injury trends in the National Basketball Association: Pre- and per-COVID-19 (2017-2021).

PloS one·2022
Same author

Tracking Systems in Team Sports: A Narrative Review of Applications of the Data and Sport Specific Analysis.

Sports medicine - open·2022
Same author

The Recovery Umbrella in the World of Elite Sport: Do Not Forget the Coaching and Performance Staff.

Sports (Basel, Switzerland)·2021

Related Experiment Video

Updated: Feb 14, 2026

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

605

Validity and reliability of an accelerometer-based player tracking device.

Daniel P Nicolella1, Lorena Torres-Ronda2, Kase J Saylor1

  • 1Southwest Research Institute, San Antonio, Texas, United States of America.

Plos One
|February 9, 2018
PubMed
Summary
This summary is machine-generated.

Wearable athletic tracking devices show excellent reliability within a single unit but varied reliability between devices. Catapult PlayerLoad™ was consistently lower than calculated player load, highlighting the need for industry standards.

More Related Videos

A Method for Quantifying Upper Limb Performance in Daily Life Using Accelerometers
07:24

A Method for Quantifying Upper Limb Performance in Daily Life Using Accelerometers

Published on: April 21, 2017

13.1K
Feeding Experimentation Device FED: Construction and Validation of an Open-source Device for Measuring Food Intake in Rodents
09:18

Feeding Experimentation Device FED: Construction and Validation of an Open-source Device for Measuring Food Intake in Rodents

Published on: February 21, 2017

8.7K

Related Experiment Videos

Last Updated: Feb 14, 2026

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

605
A Method for Quantifying Upper Limb Performance in Daily Life Using Accelerometers
07:24

A Method for Quantifying Upper Limb Performance in Daily Life Using Accelerometers

Published on: April 21, 2017

13.1K
Feeding Experimentation Device FED: Construction and Validation of an Open-source Device for Measuring Food Intake in Rodents
09:18

Feeding Experimentation Device FED: Construction and Validation of an Open-source Device for Measuring Food Intake in Rodents

Published on: February 21, 2017

8.7K

Area of Science:

  • Sports Science
  • Biomechanics
  • Wearable Technology

Background:

  • Wearable athletic tracking devices are increasingly used in sports for performance monitoring.
  • Understanding the accuracy and reliability of these devices is crucial for valid data interpretation.
  • Previous research has not comprehensively assessed the intra- and inter-device reliability of specific accelerometers under controlled conditions.

Purpose of the Study:

  • To determine the intra- and inter-device accuracy and reliability of wearable athletic tracking devices (Catapult OptimEye S5).
  • To evaluate device performance under controlled laboratory conditions using controlled oscillations.
  • To compare Catapult PlayerLoad™ with player load calculated using a Cartesian formula.

Main Methods:

  • Nineteen Catapult OptimEye S5 accelerometers were subjected to controlled oscillations in three orthogonal directions at four acceleration levels.
  • Data was recorded at 100Hz, with peak accelerations and PlayerLoad™ metrics analyzed.
  • Intra- and inter-device reliability was assessed using effect sizes and intraclass correlation coefficients (ICCs).

Main Results:

  • Devices demonstrated excellent intra-device reliability (ICCs ranging from 0.77 to 1.0).
  • Inter-device reliability was mixed, with significant differences in mean peak accelerations and PlayerLoad™ across devices.
  • Catapult PlayerLoad™ was consistently ~15% lower than the player load calculated using the Cartesian formula.

Conclusions:

  • While individual devices are reliable, significant variability exists between different units.
  • The consistent underestimation of PlayerLoad™ by the device warrants attention.
  • Industry-wide standards for reporting validity, reliability, and measurement errors are essential; periodic quantification of device accuracy is recommended.