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

Towards Fingerprint Mosaicking Artifact Detection: A Self-Supervised Deep Learning Approach.

Sensors (Basel, Switzerland)·2026
Same author

Response to: SLEEP-D-26-01174R1 "When global policies meet local realities: School start times in LMIC contexts".

Sleep medicine·2026
Same author

Temporal trends in risk of acute kidney injury among patients with preeclampsia in Canada: a retrospective cohort study.

CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne·2026
Same author

Ru-SATED scale and Sleep Health Index: A systematic review of two leading multidimensional sleep health measures and frameworks across the globe.

Sleep medicine reviews·2026
Same author

Near-Infrared Spectroscopy Used During Cardiopulmonary Resuscitation: Instrumentation, Signal Metrics, Clinical Context, and Feasibility: A Scoping Review.

Sensors (Basel, Switzerland)·2026
Same author

The Prevalence and Consequences of Supra-Normal Estimated Glomerular Filtration Rate in Pediatric Solid Organ Transplants: A Single Center Cohort.

Transplantation proceedings·2026
Same journal

Dataset of pesticide and trace metal concentrations in the pollen provisions of wild bees and surrounding soils across European bee hotels.

Data in brief·2026
Same journal

Dataset of structure-activity relationships in Pd/ZrO<sub>2</sub>-TiO<sub>2</sub> catalysts for furfural reductive amination: Batch vs Operando ATR-FTIR.

Data in brief·2026
Same journal

Dine in or take out dataset: user behavior in an interactive virtual reality café.

Data in brief·2026
Same journal

Heavy commercial vehicles' disposition: Anonymized dataset of German truck freight transport order trips (DT-DISPO).

Data in brief·2026
Same journal

A harmonized fast-fashion garment-variant dataset for textile circularity and sustainability assessment.

Data in brief·2026
Same journal

Terahertz reflectivity dataset: Reading text on both sides of the page.

Data in brief·2026
See all related articles

Related Experiment Video

Updated: Nov 18, 2025

Author Spotlight: Integrating Mechanical and Biological Analysis in Tendinopathy Research
04:37

Author Spotlight: Integrating Mechanical and Biological Analysis in Tendinopathy Research

Published on: March 1, 2024

1.1K

Fidgety Philip and the Suggested Clinical Immobilization Test: Annotation data for developing a machine learning

Melvin Chan1, Emmanuel K Tse1, Seraph Bao1

  • 1H-Behaviours Research Lab, BC Children's Hospital Research Institute, Vancouver, British Columbia, Canada.

Data in Brief
|February 8, 2021
PubMed
Summary
This summary is machine-generated.

Researchers developed a pictogram-guided phenotyping language (PG-PL) to objectively describe restless behaviors in children. This method aids in developing machine learning for automated movement detection in ADHD diagnosis.

Keywords:
Adverse drug reactionsMisdiagnosisMovement disordersOver-medicationSleep-related movement disorders

More Related Videos

Use of a Foot-Induced Digitally Controlled Resistance Device for Functional Magnetic Resonance Imaging Evaluation in Patients with Foot Paresis
08:55

Use of a Foot-Induced Digitally Controlled Resistance Device for Functional Magnetic Resonance Imaging Evaluation in Patients with Foot Paresis

Published on: July 7, 2023

490
Evaluating Postural Control and Lower-extremity Muscle Activation in Individuals with Chronic Ankle Instability
07:52

Evaluating Postural Control and Lower-extremity Muscle Activation in Individuals with Chronic Ankle Instability

Published on: September 18, 2020

8.8K

Related Experiment Videos

Last Updated: Nov 18, 2025

Author Spotlight: Integrating Mechanical and Biological Analysis in Tendinopathy Research
04:37

Author Spotlight: Integrating Mechanical and Biological Analysis in Tendinopathy Research

Published on: March 1, 2024

1.1K
Use of a Foot-Induced Digitally Controlled Resistance Device for Functional Magnetic Resonance Imaging Evaluation in Patients with Foot Paresis
08:55

Use of a Foot-Induced Digitally Controlled Resistance Device for Functional Magnetic Resonance Imaging Evaluation in Patients with Foot Paresis

Published on: July 7, 2023

490
Evaluating Postural Control and Lower-extremity Muscle Activation in Individuals with Chronic Ankle Instability
07:52

Evaluating Postural Control and Lower-extremity Muscle Activation in Individuals with Chronic Ankle Instability

Published on: September 18, 2020

8.8K

Area of Science:

  • Neuroscience
  • Psychiatry
  • Computer Science

Background:

  • The Fidgety Philip cartoon illustrates hyperactive behaviors associated with ADHD diagnosis.
  • Existing diagnostic methods have gaps when compared to modern computational approaches.
  • Objective quantification of hypermotor-restlessness (H-behaviors) during sitting is challenging.

Purpose of the Study:

  • To develop a neutral, pictogram-guided phenotyping language (PG-PL) for describing body-segment movements during sitting.
  • To establish a reliable method for manual annotation of human movement patterns.
  • To create a foundation for a machine learning algorithm for automated movement detection.

Main Methods:

  • Seven research assistants annotated Fidgety Philip cartoons and snapshots using freehand and PG-PL methods.
  • Inter-observer agreement was assessed to ensure reliability of the PG-PL.
  • PG-PL annotations of video clips were used to develop a machine learning algorithm for automated movement detection.

Main Results:

  • The pictogram-guided phenotyping language (PG-PL) demonstrated value for manual annotation of human movement patterns.
  • Satisfactory inter-observer agreements were achieved, validating the PG-PL's consistency.
  • A machine learning algorithm for automated movement detection was successfully developed using PG-PL annotations.

Conclusions:

  • The PG-PL provides a standardized, objective method for describing restless movements.
  • This approach bridges the gap between clinical observation and computational analysis in ADHD research.
  • The developed methodology and algorithm can be further refined for differentiating movement patterns.