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

You might also read

Related Articles

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

Sort by
Same author

Validity and reliability of smartwatch-based upper-extremity function and heart rate assessment in outpatient older adults.

Archives of gerontology and geriatrics·2026
Same author

Assessing aging-related changes of the brain-heart interconnection using functional near-infrared spectroscopy.

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology·2026
Same author

A novel sensor-based real-time tracking game for assessing ankle proprioceptive effects on sensorimotor performance.

Biomedical engineering online·2025
Same author

Heart Rate Dynamics during Localized Upper-Extremity Function as a Novel Measure of Cardiac Autonomic Dysfunction: Investigation of Aging- and Disease-Related Alterations.

Gerontology·2025
Same author

Frailty identification using a sensor-based upper-extremity function test: a deep learning approach.

Scientific reports·2025
Same author

Differences in brain function entropy due to cognitive impairment: Application of functional near infrared spectroscopy measures during dual-tasking.

International journal of psychophysiology : official journal of the International Organization of Psychophysiology·2025
Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026
Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026
Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026
Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026
Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026
Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026
See all related articles

Related Experiment Video

Updated: Jun 4, 2025

Author Spotlight: Assessing Surgical Frailty with Point-of-Care Ultrasound of Quadriceps Muscles
04:00

Author Spotlight: Assessing Surgical Frailty with Point-of-Care Ultrasound of Quadriceps Muscles

Published on: July 26, 2024

453

Sensor-Based Frailty Assessment Using Fitbit.

Mohammad Hosseinalizadeh1,2, Mehran Asghari2, Nima Toosizadeh2,3,4

  • 1Department of Biomedical Engineering, School of Graduate Studies, Rutgers University, Newark, NJ 07107, USA.

Sensors (Basel, Switzerland)
|December 17, 2024
PubMed
Summary
This summary is machine-generated.

Fitbit reliably assesses frailty using motor function tests. While it provides fair heart rate (HR) data during rest and recovery, its accuracy for rapid HR changes during activity is limited.

Keywords:
Fitbit smartwatchfrailty assessmentheart rate (HR) monitoringmotor performancewearable sensor

More Related Videos

Exergaming in Older People Living with HIV Improves Balance, Mobility and Ameliorates Some Aspects of Frailty
07:27

Exergaming in Older People Living with HIV Improves Balance, Mobility and Ameliorates Some Aspects of Frailty

Published on: October 6, 2016

10.2K
Measuring Frailty in HIV-infected Individuals. Identification of Frail Patients is the First Step to Amelioration and Reversal of Frailty
05:53

Measuring Frailty in HIV-infected Individuals. Identification of Frail Patients is the First Step to Amelioration and Reversal of Frailty

Published on: July 24, 2013

16.6K

Related Experiment Videos

Last Updated: Jun 4, 2025

Author Spotlight: Assessing Surgical Frailty with Point-of-Care Ultrasound of Quadriceps Muscles
04:00

Author Spotlight: Assessing Surgical Frailty with Point-of-Care Ultrasound of Quadriceps Muscles

Published on: July 26, 2024

453
Exergaming in Older People Living with HIV Improves Balance, Mobility and Ameliorates Some Aspects of Frailty
07:27

Exergaming in Older People Living with HIV Improves Balance, Mobility and Ameliorates Some Aspects of Frailty

Published on: October 6, 2016

10.2K
Measuring Frailty in HIV-infected Individuals. Identification of Frail Patients is the First Step to Amelioration and Reversal of Frailty
05:53

Measuring Frailty in HIV-infected Individuals. Identification of Frail Patients is the First Step to Amelioration and Reversal of Frailty

Published on: July 24, 2013

16.6K

Area of Science:

  • Biomedical Engineering
  • Gerontology
  • Wearable Technology

Background:

  • Frailty assessment is crucial for elderly care.
  • Wearable devices offer potential for remote health monitoring.
  • Validating consumer wearables like Fitbit for clinical use is essential.

Purpose of the Study:

  • To evaluate Fitbit's reliability in assessing frailty.
  • To compare Fitbit's motor and heart rate (HR) measurements against gold standards.
  • To determine Fitbit's suitability for frailty detection using upper extremity function (UEF) tests.

Main Methods:

  • 42 young adults performed UEF tests (rapid elbow flexion).
  • Fitbit and motion sensors measured motor parameters (speed, flexibility, weakness, exhaustion).
  • ECG and Fitbit measured HR during rest, task, and recovery.

Main Results:

  • Excellent agreement between Fitbit and motion sensors for most motor parameters (ICC > 0.87).
  • Weak agreement for HR increase and recovery (ICC = 0.24).
  • Moderate to strong agreement for mean HR during baseline, task, and post-task (ICC = 0.81).

Conclusions:

  • Fitbit is reliable for assessing frailty via motor parameters.
  • Fitbit provides acceptable HR estimates during rest and recovery.
  • Fitbit's limitations in tracking rapid HR changes hinder its use for dynamic activity monitoring.