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

Prevalence of knee pain and factors influencing its risk in ambulatory chronic stroke survivors.

Topics in stroke rehabilitation·2026
Same author

Classifying weekday-weekend sleep pattern subtypes via latent class analysis: Associations with daytime functioning.

Chronobiology international·2026
Same author

Clinical Performance of a Smartphone-Based Sound Amplification Device Versus a Personal Sound Amplification Product in Elders with Mild-to-Moderate Hearing Loss: A Prospective Cohort Study.

Medicina (Kaunas, Lithuania)·2026
Same author

Extubation Decision Support in Critical Care: A Multimodal Machine Learning Framework Integrating Segmented Radiographs and Routine Clinical Data.

Journal of imaging informatics in medicine·2026
Same author

Gerontological Effects on Arousal Frequency, Autonomic Balance, and Slow-Wave Sleep During Pressure Adjustments of CPAP in OSA Patients.

Nature and science of sleep·2026
Same author

Prevalence and impact of fibromyalgia on patients with type 2 diabetes: a large-scale real-world data analysis.

Journal of endocrinological investigation·2026
Same journal

Correction: Yalçın et al. Impact of SGLT2 Inhibitors on Cardiovascular Risk Scores, Metabolic Parameters, and Laboratory Profiles in Type 2 Diabetes. <i>Life</i> 2025, <i>15</i>, 722.

Life (Basel, Switzerland)·2026
Same journal

Correction: Schubert et al. Minimally Invasive Ablation Strategies for Renal Cell Carcinoma Patients Ineligible for Surgery. <i>Life</i> 2026, <i>16</i>, 73.

Life (Basel, Switzerland)·2026
Same journal

Blood Group Antigen Combinations and COVID-19: Complexity, Associations and Possible Clinical Relevance.

Life (Basel, Switzerland)·2026
Same journal

Beyond HPV in Eastern Europe: Genotype Distribution, Molecular Biomarkers, Vaginal Microbiome, and Implications for Cervical Cancer Prevention.

Life (Basel, Switzerland)·2026
Same journal

Therapeutic Effects of <i>Scutellaria baicalensis</i> Georgi Extract and Baicalein on Olfactory Dysfunction and Neurobehavioral Alterations in a Methimazole-Induced Injury Model.

Life (Basel, Switzerland)·2026
Same journal

The Effects of Unstable Strength Training on Lower Limb Stability in Adolescent Volleyball Players in China.

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

Related Experiment Video

Updated: Jan 10, 2026

Isokinetic Robotic Device to Improve Test-Retest and Inter-Rater Reliability for Stretch Reflex Measurements in Stroke Patients with Spasticity
08:40

Isokinetic Robotic Device to Improve Test-Retest and Inter-Rater Reliability for Stretch Reflex Measurements in Stroke Patients with Spasticity

Published on: June 12, 2019

7.8K

A Feasible Method for Evaluating Post-Stroke Knee Spasticity: Pose-Estimation-Assisted Pendulum Test.

Yun-Chien Yeh1, Ching-Shiou Tang1, Quang Hung Ho2,3

  • 1School of Biomedical Engineering, Taipei Medical University, Taipei 110, Taiwan.

Life (Basel, Switzerland)
|November 27, 2025
PubMed
Summary
This summary is machine-generated.

Human pose estimation offers a reliable, objective method for assessing post-stroke spasticity (PSS). This video-based approach, using the normalized relaxation index (P1), shows strong agreement with traditional measurements.

Keywords:
agreementmarkerless pose estimationpendulum testspasticitystroke

More Related Videos

Methods to Quantify Pharmacologically Induced Alterations in Motor Function in Human Incomplete SCI
14:55

Methods to Quantify Pharmacologically Induced Alterations in Motor Function in Human Incomplete SCI

Published on: April 18, 2011

14.2K
Standing Neurophysiological Assessment of Lower Extremity Muscles Post-Stroke
08:23

Standing Neurophysiological Assessment of Lower Extremity Muscles Post-Stroke

Published on: July 26, 2021

2.9K

Related Experiment Videos

Last Updated: Jan 10, 2026

Isokinetic Robotic Device to Improve Test-Retest and Inter-Rater Reliability for Stretch Reflex Measurements in Stroke Patients with Spasticity
08:40

Isokinetic Robotic Device to Improve Test-Retest and Inter-Rater Reliability for Stretch Reflex Measurements in Stroke Patients with Spasticity

Published on: June 12, 2019

7.8K
Methods to Quantify Pharmacologically Induced Alterations in Motor Function in Human Incomplete SCI
14:55

Methods to Quantify Pharmacologically Induced Alterations in Motor Function in Human Incomplete SCI

Published on: April 18, 2011

14.2K
Standing Neurophysiological Assessment of Lower Extremity Muscles Post-Stroke
08:23

Standing Neurophysiological Assessment of Lower Extremity Muscles Post-Stroke

Published on: July 26, 2021

2.9K

Area of Science:

  • Biomedical Engineering
  • Rehabilitation Science
  • Clinical Neurology

Background:

  • Post-stroke spasticity (PSS) significantly impairs functional recovery and quality of life.
  • Current clinical spasticity assessments have limitations in objectivity and equipment.
  • Human pose estimation emerges as a promising objective tool for spasticity evaluation.

Purpose of the Study:

  • To evaluate the efficacy of human pose estimation for objective assessment of knee muscle spasticity in stroke survivors.
  • To compare pose estimation methods (AlphaPose, STCFormer) against an electronic goniometer for spasticity quantification.
  • To determine the reliability and clinical feasibility of pose estimation for PSS evaluation.

Main Methods:

  • 20 stroke survivors with PSS underwent smartphone-based pendulum tests.
  • Pose estimation algorithms (AlphaPose, STCFormer) analyzed knee spasticity parameters (P1, P2, P3).
  • Data compared with electronic goniometer measurements using Bland-Altman, ICC, and Spearman correlation analyses.

Main Results:

  • The normalized relaxation index (P1) showed high consistency between pose estimation and goniometer measurements (ICC > 0.91).
  • P1 and P3 parameters effectively differentiated between affected and unaffected limbs (p < 0.01).
  • P1 demonstrated significant negative correlations with Modified Ashworth Scale scores, indicating clinical relevance.

Conclusions:

  • Video-based human pose estimation provides a reliable and objective method for assessing PSS.
  • The normalized relaxation index (P1) is a key parameter for accurate spasticity evaluation.
  • This technology is clinically feasible and offers a user-friendly alternative for spasticity assessment.