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 Experiment Video

Updated: May 9, 2026

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

Recommendations for collecting and processing accelerometry data in elderly people.

Sandra Ortlieb1, Lukas Gorzelniak, André Dias

  • 1Institute of Medical Statistics and Epidemiology, Technische Universität München, Munich, Germany.

Studies in Health Technology and Informatics
|August 8, 2013
PubMed
Summary
This summary is machine-generated.

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

Stem cell-based embryo models as a tool for reproductive biology.

Molecular human reproduction·2026
Same author

One-Month Rifapentine-Isoniazid Regimen Versus Six-Month Isoniazid Monotherapy for Latent Tuberculosis: Experience from a Reference Center.

Medicina (Kaunas, Lithuania)·2026
Same author

3D Mitochondria Shape Library for Optical Microscopy (3DMSL): A multimodal dataset for deep learning based mitochondrial analysis.

Data in brief·2026
Same author

Exploring the Relationship Between Physical Activity and Pressure Pain Tolerance in the General Population. The Tromsø Study 2015-2016.

European journal of pain (London, England)·2025
Same author

N2B27 media formulations influence gastruloid development.

Development (Cambridge, England)·2025
Same author

Reply to Verbrugghe et al.

Pain·2025
Same journal

A GenAI Pipeline for Violinist Kinematic Data Management.

Studies in health technology and informatics·2026
Same journal

AMAL-For-Qatar: A Comprehensive AI Ecosystem for Fetal Ultrasound Analysis - Project Overview and Achievements.

Studies in health technology and informatics·2026
Same journal

Longitudinal Treatment-Aware Multimodal AI for Dermatology: A Scoping Review.

Studies in health technology and informatics·2026
Same journal

Predicting Postpartum Depression Using Imbalance-Aware Machine Learning.

Studies in health technology and informatics·2026
Same journal

Validation of Deep-Learning Models for Autosegmentation of Brain Metastases.

Studies in health technology and informatics·2026
Same journal

Delay-Dependent Gating in Modular RNNs.

Studies in health technology and informatics·2026
See all related articles

Standardizing accelerometer data collection and analysis is crucial for comparing physical activity in older adults. This study offers recommendations for consistent wearing time and intensity assessments.

Area of Science:

  • Gerontology
  • Biomedical Engineering
  • Physical Activity Measurement

Background:

  • Accelerometer data analysis for physical activity assessment lacks standardization across studies.
  • This variability hinders the comparability of research findings, particularly in older populations.
  • Consistent methodologies are needed to accurately evaluate physical activity in older adults.

Purpose of the Study:

  • To provide evidence-based recommendations for collecting and processing accelerometer data in older adults.
  • To standardize the assessment of wearing time and intensity levels from accelerometer data.
  • To improve the comparability and reliability of physical activity research in the elderly.

Main Methods:

  • Review of existing methodologies for accelerometer data collection and analysis.

More Related Videos

Substantiating Appropriate Motion Capture Techniques for the Assessment of Nordic Walking Gait and Posture in Older Adults
09:37

Substantiating Appropriate Motion Capture Techniques for the Assessment of Nordic Walking Gait and Posture in Older Adults

Published on: May 12, 2016

Home-Based Monitor for Gait and Activity Analysis
07:24

Home-Based Monitor for Gait and Activity Analysis

Published on: August 8, 2019

Related Experiment Videos

Last Updated: May 9, 2026

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

Substantiating Appropriate Motion Capture Techniques for the Assessment of Nordic Walking Gait and Posture in Older Adults
09:37

Substantiating Appropriate Motion Capture Techniques for the Assessment of Nordic Walking Gait and Posture in Older Adults

Published on: May 12, 2016

Home-Based Monitor for Gait and Activity Analysis
07:24

Home-Based Monitor for Gait and Activity Analysis

Published on: August 8, 2019

  • Focus on techniques for determining wearing time and classifying physical activity intensity levels.
  • Development of practical guidelines for researchers and clinicians.

    • Main Results:

    • Identification of key challenges in current accelerometer data processing.
    • Proposals for standardized protocols for wearing time calculation.
    • Recommendations for validated methods to assess physical activity intensity.

    Conclusions:

    • Standardized accelerometer data collection and analysis are essential for robust physical activity research in older adults.
    • Implementing these recommendations will enhance the comparability and validity of study outcomes.
    • This work provides a foundation for future research and clinical applications in geriatric physical activity monitoring.