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

Anatomical Movements00:51

Anatomical Movements

Anatomical movements refer to the various actions or motions that can be performed by the body's joints and muscles. These movements are described using specific terms to provide a standardized way of discussing and understanding the range of motion at different joints.
Here are some common anatomical movements:
Flexion and extension motions are in the sagittal (anterior–posterior) plane of motion. These movements take place at the shoulder, hip, elbow, knee, wrist, metacarpophalangeal,...

You might also read

Related Articles

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

Sort by
Same author

How Is Lumbar Fusion Associated With Compensatory Hip Motion After THA?

Clinical orthopaedics and related research·2026
Same author

Comparison of Different Bipolar Construct Configurations for the Correction of Adult Spine Deformity: A Finite Element Analysis.

Annals of biomedical engineering·2025
Same author

Illustrator-anatomist-clinician triad based pedagogical model in anatomy education: An auxiliary resource amidst lack of hands-on human dissection.

Anatomical sciences education·2025
Same author

Hip-lumbar mobility loss affects quality of life in patients undergoing both lumbar fusion and total hip arthroplasty.

The bone & joint journal·2024
Same author

Lumbar Epidural Corticosteroid Injection-Induced Epidural Lipomatosis.

Journal of clinical rheumatology : practical reports on rheumatic & musculoskeletal diseases·2024
Same author

The Impact of Pelvic Incidence on Spinopelvic and Hip Alignment and Mobility in Asymptomatic Subjects.

The Journal of bone and joint surgery. American volume·2024
Same journal

Immediate and Mid-Long-Term Effects of Foot Orthoses on Gait Biomechanics and Clinical Characteristics in Medial Knee Osteoarthritis: A Systematic Review and Meta-analysis.

Annals of biomedical engineering·2026
Same journal

Screening and Evaluation of Post-stroke Dysphagia: Insights from Neurology, Artificial Intelligence and Data Science-A Scoping Review.

Annals of biomedical engineering·2026
Same journal

Assessing the Efficacy of GameBreaker Softshell Headgear in Reducing Peak Head Kinematics.

Annals of biomedical engineering·2026
Same journal

Reference Standards, Numerical Consistency, and Scoring Logic: Pre-deployment Assurance Considerations for AI-Assisted Third Molar Extraction Planning : Regarding: Ko J, Sooksatra S, Kim S, Tang S, Ha JE, Han DH, Lee KH, Jung YJ, Kim MJ. Quantitative assessment of third molar extraction difficulty and nerve injury risk using artificial intelligence and image processing. Ann Biomed Eng. 2026. https://doi.org/10.1007/s10439-026-04114-9.

Annals of biomedical engineering·2026
Same journal

Un-AI-ing: Compliance, Evasion, and the Distortion of Research Writing in the Age of AI Detection.

Annals of biomedical engineering·2026
Same journal

VisR Ultrasound for Monitoring Muscle Fatigue with FES-Induced and Volitional Isometric Contraction of the Rectus Femoris in Participants with Uninjured and Injured Spinal Cords.

Annals of biomedical engineering·2026
See all related articles

Related Experiment Video

Updated: Jun 22, 2026

Movement Retraining using Real-time Feedback of Performance
08:16

Movement Retraining using Real-time Feedback of Performance

Published on: January 17, 2013

13.9K

Intersegmental Spinal Range of Motion Estimated Using Movement Analysis and a Clinically Compatible Marker Set.

Arina Grankova1, Claudio Vergari2, Maud Crezé3,4

  • 1Arts et Metiers Institute of Technology, EPF Engineering School, Université Sorbonne Paris Nord, IBHGC-Institut de Biomécanique Humaine Georges Charpak, F-75013, Paris, France.

Annals of Biomedical Engineering
|April 1, 2026
PubMed
Summary
This summary is machine-generated.

A new reduced marker protocol for motion capture shows promise for assessing spinal mobility. However, kinematic models significantly impact range of motion (ROM) results, necessitating further research for reliable clinical application.

Keywords:
FlexibilityIn vivoQuantitative movement analysisSpine

More Related Videos

Measurement of Dynamic Scapular Kinematics Using an Acromion Marker Cluster to Minimize Skin Movement Artifact
10:07

Measurement of Dynamic Scapular Kinematics Using an Acromion Marker Cluster to Minimize Skin Movement Artifact

Published on: February 10, 2015

20.2K
In Vivo Quantification of Hip Arthrokinematics during Dynamic Weight-bearing Activities using Dual Fluoroscopy
07:43

In Vivo Quantification of Hip Arthrokinematics during Dynamic Weight-bearing Activities using Dual Fluoroscopy

Published on: July 2, 2021

3.7K

Related Experiment Videos

Last Updated: Jun 22, 2026

Movement Retraining using Real-time Feedback of Performance
08:16

Movement Retraining using Real-time Feedback of Performance

Published on: January 17, 2013

13.9K
Measurement of Dynamic Scapular Kinematics Using an Acromion Marker Cluster to Minimize Skin Movement Artifact
10:07

Measurement of Dynamic Scapular Kinematics Using an Acromion Marker Cluster to Minimize Skin Movement Artifact

Published on: February 10, 2015

20.2K
In Vivo Quantification of Hip Arthrokinematics during Dynamic Weight-bearing Activities using Dual Fluoroscopy
07:43

In Vivo Quantification of Hip Arthrokinematics during Dynamic Weight-bearing Activities using Dual Fluoroscopy

Published on: July 2, 2021

3.7K

Area of Science:

  • Biomechanics
  • Kinesiology
  • Orthopedics

Background:

  • Spinal mobility assessment is crucial for diagnosing and treating spinal disorders.
  • Motion capture systems provide intersegmental kinematic data but face challenges in marker placement and reference frame definition.
  • Standardized protocols are needed for clinically relevant and comparable spinal motion analysis.

Purpose of the Study:

  • To propose and evaluate a reduced marker set protocol for estimating thoracic, lumbar, and intervertebral ranges of motion (ROM).
  • To assess ROM during functional trunk movements: flexion/extension (FE), lateral bending (LB), and axial rotation (AR).
  • To investigate the impact of different kinematic models on spinal ROM estimation.

Main Methods:

  • Fifteen asymptomatic adults underwent 3D motion capture using a 21-marker configuration during standardized trunk tasks.
  • Anatomical coordinate systems were created for the pelvis, thoracic, and lumbar regions.
  • Three intervertebral kinematic constraint models with varying degrees of freedom and ROM distribution were compared.

Main Results:

  • Significant differences in ROM were observed between the tested kinematic models.
  • ROM results also differed from established literature data.
  • Model-dependent differences in ROM were not consistent across all movement types (FE, LB, AR).

Conclusions:

  • The choice of kinematic model substantially influences spinal ROM and segmental ROM measurements.
  • In vivo data reflecting functional, coupled spinal motion is essential.
  • The proposed reduced marker protocol, coupled with validated kinematic constraints, offers a potentially feasible and anatomically sound approach for clinical spine mobility assessment.