Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

You might also read

Related Articles

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

Sort by

Same author

Multimodal machine learning mobility assessment in Parkinson's disease within supervised and unsupervised settings.

Journal of neuroengineering and rehabilitation·2026

Same author

Acute Psychiatric Care Provision for Children and Adolescents in Ireland.

Irish medical journal·2026

Same author

Multi-modal gait assessment in Parkinson's Disease: A pilot study examining the impact of terrain and environment.

Gait & posture·2026

Same author

A multi-centre performance evaluation of a commercially developed liquid biopsy for the earlier detection of brain tumours.

ESMO open·2025

Same author

Exploring the Impact of Bullying and Friendship on Mental Health Outcomes Among Transgender, Gender Diverse (TGD), and Cisgender Lesbian, Gay, Bisexual (LGB+) Youth.

Journal of homosexuality·2025

Same author

Factors that influence the commissioning and implementation of integrated care for adults at risk of cardiovascular disease and mild-to-moderate mental health concerns in the UK: a systematic review protocol.

Systematic reviews·2025

Same journal

Digital twins in menopause: a roadmap for integrating endocrine dynamics, multisystem physiology, and precision medicine.

Maturitas·2026

Same journal

Testosterone therapy in women: Keeping pace with the evidence.

Maturitas·2026

Same journal

Diagnosis and management of androgen excess presenting after menopause.

Maturitas·2026

Same journal

Domain-specific severity of menopausal symptoms and emotional eating in midlife women.

Maturitas·2026

Same journal

Energy-based therapies for vulvar lichen sclerosus: A systematic review of randomized controlled trials.

Maturitas·2026

Same journal

Change of sexual activity and its relation to the quality of life in older people: Cognition of Older People, Education, Recreational Activities, NutritIon, Comorbidities, fUnctional Capacity Studies (COPERNICUS).

Maturitas·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Mar 31, 2026

Evaluation of Commercial-Off-The-Shelf Wrist Wearables to Estimate Stress on Students

Evaluation of Commercial-Off-The-Shelf Wrist Wearables to Estimate Stress on Students

Published on: June 16, 2018

Estimating cut points: A simple method for new wearables.

A Hickey¹, J Newham², M M Slawinska³

¹Institute of Neuroscience, Newcastle University Institute for Ageing, Newcastle University, UK.

|October 23, 2015

Summary

This summary is machine-generated.

A new method using count ratios can determine cut-points for wearable devices to accurately measure physical activity (PA) and sedentary behavior (SB). This aids in analyzing data from new commercial wearables.

Keywords:

Accelerometer Cut points Physical activity Sedentary behaviour

More Related Videos

Setup of Consumer Wearable Devices for Exposure and Health Monitoring in Population Studies

Setup of Consumer Wearable Devices for Exposure and Health Monitoring in Population Studies

Published on: February 3, 2023

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

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

Published on: February 21, 2025

Related Experiment Videos

Last Updated: Mar 31, 2026

Evaluation of Commercial-Off-The-Shelf Wrist Wearables to Estimate Stress on Students

Evaluation of Commercial-Off-The-Shelf Wrist Wearables to Estimate Stress on Students

Published on: June 16, 2018

Setup of Consumer Wearable Devices for Exposure and Health Monitoring in Population Studies

Setup of Consumer Wearable Devices for Exposure and Health Monitoring in Population Studies

Published on: February 3, 2023

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

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

Published on: February 21, 2025

Area of Science:

Biomedical Engineering
Sports Science
Human Movement Analysis

Background:

Commercial wearable technology offers continuous health monitoring but often lacks validated cut-points for accurate physical activity (PA) quantification.
Manufacturing variations in wearables hinder direct comparison and data analysis using established literature parameters.
A simple, adaptable metric is needed to derive cut-points for novel wearable devices.

Purpose of the Study:

To investigate a straightforward methodology for determining cut-points for wrist-worn wearable devices.
To establish cut-points for sedentary behavior (SB) and different intensities of PA (light, moderate, vigorous).
To compare a new device's output (PRO-Diary™) against a gold standard (ActiGraph™) using calculated count ratios.

Main Methods:

A pilot study involved 12 participants undergoing a four-phase treadmill protocol.
Participants engaged in sedentary behavior (SB) and three intensities of PA (light, moderate, vigorous).
Device outputs were compared, accounting for relative intensity to derive count ratios.

Main Results:

Count ratios were successfully calculated: 6.31, 7.68, 4.63, and 3.96.
These ratios determined cut-points for the PRO-Diary™ wearable for SB (0-426), light (427-803), moderate (804-2085), and vigorous (≥ 2086) PA.
The methodology demonstrated effectiveness in differentiating activity intensities.

Conclusions:

The findings provide a primary reference for using wrist-worn wearables like PRO-Diary™ to quantify SB and PA.
Count ratios offer a potentially useful tool for comparing different wearable devices and cross-study SB/PA data.
Further research with diverse devices, attachment sites, and larger cohorts is recommended for broader validation.