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 Experiment Videos

[Quantitative gait evaluation using principal component analysis].

Yiyong Yang1, Rencheng Wang, Zhixiu Hao

  • 1School of Engineering, China University of Geosiences, Beijing 100083, China.

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi = Journal of Biomedical Engineering = Shengwu Yixue Gongchengxue Zazhi
|January 21, 2006
PubMed
Summary

This study introduces a quantitative gait evaluation method using principal component analysis (PCA) to assess human gait function. The developed system effectively measures gait recovery following treatment, aiding clinical medicine and rehabilitation engineering.

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

Image classification based on ICA-WP feature of EEG signal.

Technology and health care : official journal of the European Society for Engineering and Medicine·2016
Same author

Serum miR-1297: a promising diagnostic biomarker in esophageal squamous cell carcinoma.

Biomarkers : biochemical indicators of exposure, response, and susceptibility to chemicals·2016
Same author

Pursue the truth, devote to education: Chen Hua-Kui, a respectable educator and pioneer of China's soil microbiology.

Protein & cell·2016
Same author

High-order resting-state functional connectivity network for MCI classification.

Human brain mapping·2016
Same author

Dynamics of histone H2A, H4 and HS1ph during spermatogenesis with a focus on chromatin condensation and maturity of spermatozoa.

Scientific reports·2016
Same author

Metal contact effect on the performance and scaling behavior of carbon nanotube thin film transistors.

Nanoscale·2016

Area of Science:

  • Biomechanics
  • Rehabilitation Engineering
  • Clinical Medicine

Context:

  • Human gait analysis is crucial for diagnosing conditions and monitoring recovery.
  • Existing gait evaluation methods may lack quantitative precision.
  • Advances in computational methods offer new possibilities for objective assessment.

Purpose:

  • To propose a quantitative gait evaluation method using principal component analysis (PCA).
  • To develop a system for normalizing, quantifying, and summarizing gait parameters.
  • To demonstrate the system's capability in evaluating gait recovery after treatment.

Summary:

  • A novel method for human gait function evaluation was developed.
  • Gait parameters are detected, normalized, and quantified using PCA.

Related Experiment Videos

  • Results are presented in formulations, figures, and tables for clarity.

    • Impact:

    • This quantitative approach provides a significant advancement in gait analysis.
    • The system aids in objectively evaluating the effectiveness of treatments for gait disorders.
    • Facilitates improved clinical decision-making and rehabilitation strategies.