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

Pulse rhythm01:30

Pulse rhythm

Pulse rhythm refers to the pattern of pulsations within specific intervals, offering valuable insights into the regularity or irregularity of the heart's beats as observed through the pattern of pulsation within specific intervals. A regular pulse exhibits a consistent heart rate with uniform waveforms and pulsation force, variations of which can be classified as normal, weak, or bounding.
Conversely, an irregular pulse pattern is termed dysrhythmia, stemming from disruptions in cardiac muscle...
Sleep Apnea01:21

Sleep Apnea

Sleep apnea is a condition where breathing stops intermittently during sleep, often leading to significant health issues. Each episode can last from 10 to 20 seconds or more and is frequently accompanied by a brief arousal from sleep. This disturbance, largely unnoticed by the individual, can lead to severe daytime fatigue. Commonly, individuals seek help after being informed by their partners about loud snoring and noticeable breathing pauses during sleep.
The condition is more prevalent among...

You might also read

Related Articles

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

Sort by
Same author

Hyperthermia in a Teenager: Is it Just a Heat Stroke?

Acta medica portuguesa·2026
Same author

Percutaneous spinal stimulation to enhance gait and alleviate functional impairments in multiple sclerosis: A pilot study.

Multiple sclerosis journal - experimental, translational and clinical·2026
Same author

Tracking Cognitive Health With Wearables in Telerehabilitation Female Participants: Could Nighttime Sleep Measures Be Used as Sex-Specific Digital Endpoints?

JMIR neurotechnology·2026
Same author

Wearable Sleep Measures May Improve Machine Learning Prediction of Home-Based Pulmonary Rehabilitation Engagement Among Patients With Chronic Obstructive Pulmonary Disease: A Proof-of-Concept Study.

Mayo Clinic proceedings. Digital health·2026
Same author

Using wearable and nearable devices in telerehabilitation for COPD: a scoping review of digital endpoints in home-based programs.

Frontiers in digital health·2026
Same author

Overview of an ongoing clinical trial on hand prostheses: Toward use of synergy-based prosthetic hands for activities of daily living by transradial amputees.

IEEE transactions on bio-medical engineering·2026
Same journal

Modeling and analysis of forward and inverse kinematics for a flexible Stewart platform.

PloS one·2026
Same journal

Barriers and facilitators to healthcare utilization amongst people living with sickle cell disease in the United States: A scoping review.

PloS one·2026
Same journal

Enhancing data completeness in time series: Imputation strategies for missing data using significant periodically correlated components.

PloS one·2026
Same journal

Key targets and mechanisms by which gut microbiota-derived metabolites regulate Alzheimer's disease through the immune - inflammatory pathway: Based on network pharmacology and molecular docking.

PloS one·2026
Same journal

Grid-tied Transformer-less Boost Switched Capacitor Topology (TLBSCT) for PV applications.

PloS one·2026
Same journal

The load-velocity profiles and exercise-specific velocity zones for seven commonly used weightlifting exercises.

PloS one·2026
See all related articles

Related Experiment Video

Updated: Jun 18, 2026

Multi-Modal Home Sleep Monitoring in Older Adults
07:40

Multi-Modal Home Sleep Monitoring in Older Adults

Published on: January 26, 2019

7.6K

Optimizing an automated sleep detection algorithm using wrist-worn accelerometer data for individuals with chronic

Louis Faust1, Emma Fortune1, Omid Jahanian1,2

  • 1Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, Minnesota, United States of America.

Plos One
|April 4, 2025
PubMed
Summary
This summary is machine-generated.

Optimizing the Tudor-Locke algorithm for wrist-worn accelerometers significantly improved sleep detection accuracy in chronic pain patients, achieving 67% agreement compared to the default 50%. This enhanced method is crucial for reliable sleep quality assessment in this population.

More Related Videos

Collecting Sleep, Circadian, Fatigue, and Performance Data in Complex Operational Environments
08:36

Collecting Sleep, Circadian, Fatigue, and Performance Data in Complex Operational Environments

Published on: August 8, 2019

11.9K
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

323

Related Experiment Videos

Last Updated: Jun 18, 2026

Multi-Modal Home Sleep Monitoring in Older Adults
07:40

Multi-Modal Home Sleep Monitoring in Older Adults

Published on: January 26, 2019

7.6K
Collecting Sleep, Circadian, Fatigue, and Performance Data in Complex Operational Environments
08:36

Collecting Sleep, Circadian, Fatigue, and Performance Data in Complex Operational Environments

Published on: August 8, 2019

11.9K
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

323

Area of Science:

  • Biomedical Engineering
  • Sleep Science
  • Pain Management

Background:

  • Automated sleep detection using accelerometry is valuable for monitoring chronic pain patients.
  • The standard Tudor-Locke algorithm requires validation for specific populations like those with chronic pain.
  • Accurate sleep assessment is vital for managing chronic pain and improving patient outcomes.

Purpose of the Study:

  • To optimize the Tudor-Locke sleep detection algorithm for wrist-worn accelerometers in chronic pain populations.
  • To enhance the accuracy of automated sleep quality measures derived from accelerometry data.
  • To establish a validated methodology for sleep tracking in individuals experiencing chronic pain.

Main Methods:

  • A cohort of 16 chronic pain patients wore ActiGraph GT9X devices for one week.
  • Sleep diaries were used to record bedtimes and wake times, serving as ground truth.
  • A sensitivity analysis of the Tudor-Locke algorithm's parameters was performed to maximize agreement with sleep logs.

Main Results:

  • The optimized parameter set achieved a 67% mean agreement with participant sleep logs, surpassing the default set's 50% agreement.
  • Statistically significant differences (P < .001) were found between sleep measures obtained using the optimized versus default parameters.
  • The optimized parameters demonstrated superior performance for sleep detection in chronic pain patients.

Conclusions:

  • The Tudor-Locke algorithm can be effectively optimized for automated sleep detection in chronic pain populations.
  • Optimized parameters are recommended for accurate accelerometry-based sleep assessment in adults with chronic pain.
  • Caution is advised when applying the default algorithm to populations outside its validated scope.