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
Techniques of therapeutic communication I: Active Listening, Sharing Observations, Validation, and Using Touch01:15

Techniques of therapeutic communication I: Active Listening, Sharing Observations, Validation, and Using Touch

7.9K
The history of therapeutic communication can be traced back to Florence Nightingale, who emphasized the importance of developing trusting relationships with patients. She taught that the presence of nurses with patients results in therapeutic healing.
Therapeutic communication is not the same as social interaction. Social interaction has no goal or purpose and consists of casual information sharing, whereas therapeutic communication has a plan or purpose for the conversation. Therapeutic...
7.9K
Data Validation01:15

Data Validation

2.1K
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:
2.1K
Data Validation01:03

Data Validation

6.8K
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...
6.8K
Formulating and Validating Nursing Diagnosis I01:26

Formulating and Validating Nursing Diagnosis I

3.9K
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...
3.9K
Formulating and Validating Nursing Diagnosis II01:25

Formulating and Validating Nursing Diagnosis II

3.9K
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...
3.9K

You might also read

Related Articles

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

Sort by
Same author

Levelling up digital mental health: from proliferation to precision.

The British journal of psychiatry : the journal of mental science·2026
Same author

Space-Time Independent Component Analysis of Brain Signals: Component Selection and the Curse of Dimensionality.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2022
Same author

Introducing a Deflationary Approach to Space-Time ICA that uses temporal methods in Brain Signals Processing.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2020
Same author

Evaluation of a smartwatch-based intervention providing feedback of daily activity within a research-naive stroke ward: a pilot randomised controlled trial.

Pilot and feasibility studies·2018
Same author

Does feedback on daily activity level from a Smart watch during inpatient stroke rehabilitation increase physical activity levels? Study protocol for a randomized controlled trial.

Trials·2018
Same author

Reconstructing physical activity monitoring outcome measures using an interval sampling approach.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2017

Related Experiment Video

Updated: Feb 8, 2026

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

1.4K

Validation of a Commercial Android Smartwatch as an Activity Monitoring Platform.

James D Amor, Christopher J James, James D Amor

    IEEE Journal of Biomedical and Health Informatics
    |July 4, 2018
    PubMed
    Summary

    The ZGPAX S8 smartwatch is a suitable device for activity monitoring (AM), demonstrating good accuracy in physical manipulation and co-location tests. Algorithmic processing effectively addresses identified limitations, confirming its utility for assessing physical activity.

    More Related Videos

    Screening for Endocrine Activity in Water Using Commercially-available In Vitro Transactivation Bioassays
    08:00

    Screening for Endocrine Activity in Water Using Commercially-available In Vitro Transactivation Bioassays

    Published on: December 4, 2016

    8.0K
    Patient Directed Recording of a Bipolar Three-Lead Electrocardiogram using a Smartwatch with ECG Function
    05:03

    Patient Directed Recording of a Bipolar Three-Lead Electrocardiogram using a Smartwatch with ECG Function

    Published on: December 11, 2019

    9.1K

    Related Experiment Videos

    Last Updated: Feb 8, 2026

    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

    1.4K
    Screening for Endocrine Activity in Water Using Commercially-available In Vitro Transactivation Bioassays
    08:00

    Screening for Endocrine Activity in Water Using Commercially-available In Vitro Transactivation Bioassays

    Published on: December 4, 2016

    8.0K
    Patient Directed Recording of a Bipolar Three-Lead Electrocardiogram using a Smartwatch with ECG Function
    05:03

    Patient Directed Recording of a Bipolar Three-Lead Electrocardiogram using a Smartwatch with ECG Function

    Published on: December 11, 2019

    9.1K

    Area of Science:

    • Biomedical Engineering
    • Wearable Technology
    • Physical Activity Assessment

    Background:

    • Activity monitoring (AM) is crucial for assessing physical activity.
    • Smartwatch technology offers potential for integrated healthcare monitoring.
    • Suitability of smartwatches for accurate AM requires validation.

    Purpose of the Study:

    • To validate the ZGPAX S8 smartwatch as a device for activity monitoring.
    • To assess the accuracy of the S8's accelerometer data against a reference device.
    • To evaluate the impact of algorithmic processing on the S8's AM data.

    Main Methods:

    • Physical manipulation test comparing three S8 units to a reference accelerometer.
    • Co-location test with four participants using the S8 alongside a reference device for three hours.
    • Analysis of raw accelerometer data and processed data from both devices.

    Main Results:

    • The S8 accelerometer showed good correlation (r² ≈ 0.95) and limits of agreement (CR ≈ 2.5 m/s²) in the physical manipulation test.
    • Excellent correlation (r² ≈ 0.99) and limits of agreement (CR ≈ 0.23) were observed for processed data in the co-location test.
    • Identified limitations (data clipping, time drift, sample rate inconsistency) did not impede suitability after algorithmic processing.

    Conclusions:

    • The ZGPAX S8 smartwatch is a suitable device for activity monitoring.
    • Algorithmic processing enhances the reliability of smartwatch data for AM.
    • Smartwatches, with appropriate processing, can be effectively integrated into healthcare systems for activity assessment.