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

Multimodal Modeling Distinguishes Treatment Response from Overall Survival in Hepatocellular Carcinoma Receiving Combined Interventional and Targeted Immunotherapy.

Journal of hepatocellular carcinoma·2026
Same author

Explainable Machine Learning Using Sensor-Derived Biomechanical Features to Classify Elevated VALR-Related Loading Across Midsole Hardness Conditions in School-Aged Boys.

Sensors (Basel, Switzerland)·2026
Same author

RNA binding motif protein RBM41 promotes colorectal tumorigenesis by impeding the maturation of NDRG1 pre-mRNA.

Cell death discovery·2026
Same author

Ultranarrow nanochannels in a staggered two-dimensional polymer membrane enhance electric double-layer coverage for osmotic energy harvesting.

Nature communications·2026
Same author

Synergy structure and distribution mechanism of joint moments in the landing leg during tennis pinpoint serve.

Sports biomechanics·2026
Same author

The Influence of Different Starting Block Distances on Internal Tibial Load in Elite Sprinters.

Journal of applied biomechanics·2026
Same journal

Intracranial vasomotor and blood flow responses to light intensity aerobic exercise in young adults: a 4D flow MRI study.

Journal of applied physiology (Bethesda, Md. : 1985)·2026
Same journal

Comparative assessments of the COSMED adaptive mixing chamber vs. breath-by-breath methods for oxygen uptake measurements in recreationally active adults.

Journal of applied physiology (Bethesda, Md. : 1985)·2026
Same journal

Can we assess exercise metabolism from skin? Metabolomic profiles in skin dialysate collected during exercise.

Journal of applied physiology (Bethesda, Md. : 1985)·2026
Same journal

Characterization of intracranial pressure variations in ventricular and subarachnoid spaces of the rat brain.

Journal of applied physiology (Bethesda, Md. : 1985)·2026
Same journal

Biomedical Research in an Age of Anxiety: Four Papers for Worried Minds.

Journal of applied physiology (Bethesda, Md. : 1985)·2026
Same journal

Training status augments mechanisms of rapid‑onset vasodilation in healthy young adults.

Journal of applied physiology (Bethesda, Md. : 1985)·2026
See all related articles

Related Experiment Video

Updated: Jun 28, 2026

A Passive Ankle Dorsiflexion Testing System for an In Vivo Model of Overuse-induced Tendinopathy
04:37

A Passive Ankle Dorsiflexion Testing System for an In Vivo Model of Overuse-induced Tendinopathy

Published on: March 1, 2024

A Physics-Informed Deep Learning Framework for Estimating Muscle Activation Patterns Following Achilles Tendon

Diwei Chen1, Dong Sun1,2,3, Yufei Li4

  • 1Faculty of Sports Science, Ningbo University, Ningbo, China.

Journal of Applied Physiology (Bethesda, Md. : 1985)
|June 26, 2026
PubMed
Summary
This summary is machine-generated.

A new physics-informed Transformer Neuromusculoskeletal Model (NMM) accurately estimates soleus (SOL) muscle activation for Achilles tendon rupture (ATR) recovery. This model offers a practical clinical tool for assessing deep muscle recruitment and co-activation patterns.

Keywords:
Achilles tendon ruptureEcological validityElectromyographyMusculoskeletal modelPhysics-informed neural networks

More Related Videos

Setup for the Quantitative Assessment of Motion and Muscle Activity During a Virtual Modified Box and Block Test
04:06

Setup for the Quantitative Assessment of Motion and Muscle Activity During a Virtual Modified Box and Block Test

Published on: January 12, 2024

A Novel Application of Musculoskeletal Ultrasound Imaging
10:53

A Novel Application of Musculoskeletal Ultrasound Imaging

Published on: September 17, 2013

Related Experiment Videos

Last Updated: Jun 28, 2026

A Passive Ankle Dorsiflexion Testing System for an In Vivo Model of Overuse-induced Tendinopathy
04:37

A Passive Ankle Dorsiflexion Testing System for an In Vivo Model of Overuse-induced Tendinopathy

Published on: March 1, 2024

Setup for the Quantitative Assessment of Motion and Muscle Activity During a Virtual Modified Box and Block Test
04:06

Setup for the Quantitative Assessment of Motion and Muscle Activity During a Virtual Modified Box and Block Test

Published on: January 12, 2024

A Novel Application of Musculoskeletal Ultrasound Imaging
10:53

A Novel Application of Musculoskeletal Ultrasound Imaging

Published on: September 17, 2013

Area of Science:

  • Biomechanics
  • Neuromuscular modeling
  • Rehabilitation engineering

Background:

  • Accurate soleus (SOL) muscle activation assessment is crucial for Achilles tendon rupture (ATR) recovery.
  • Direct measurement of deep muscle activation presents a significant clinical challenge.

Purpose of the Study:

  • To develop and validate a physics-informed Transformer Neuromusculoskeletal Model (NMM) for estimating SOL activation during locomotion.
  • To assess muscle co-activation patterns in ATR patients during recovery.

Main Methods:

  • A Transformer-based Neuromusculoskeletal Model (NMM) integrating forward dynamic constraints was developed.
  • The NMM utilized joint kinematics and minimal surface electromyography data.
  • Performance was benchmarked against conventional methods (SO, SYNX) and applied to 40 participants (20 healthy, 20 ATR patients).

Main Results:

  • The NMM demonstrated superior spectral integrity and signal energy compared to SO and SYNX (p < 0.05).
  • ATR patients exhibited a phase-dependent shift in SOL recruitment: reduced early-stance and elevated terminal-stance activation (p < 0.01).
  • Co-activation analysis revealed altered early- and late-stance muscle recruitment patterns (p < 0.05) and a shift towards stability-prioritizing strategies.

Conclusions:

  • The NMM framework effectively characterizes soleus muscle co-activation patterns during Achilles tendon rupture recovery.
  • This model offers a practical, streamlined clinical tool for gait monitoring, reducing sensor requirements while maintaining diagnostic depth for deep muscle recruitment.