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

Discrimination of walking patterns using wavelet-based fractal analysis.

Masaki Sekine1, Toshiyo Tamura, Metin Akay

  • 1Department of Gerontechnology, National Institute for Longevity Sciences, Ohbu, Aichi 474-8522, Japan. Masaki.Sekine@Dartmouth.EDU

IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society
|December 31, 2002
PubMed
Summary

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

MicroRNA-873 Suppresses Viability and Invasion of Colorectal Cancer Through KRAS/MAPK Signaling and Sensitizes Tumor Spheroids to 5-Fluorouracil in a 3D Microwell Model.

IEEE open journal of engineering in medicine and biology·2026
Same author

Tumor-Suppressive microRNA Therapy Inhibits Growth of Glioblastoma Multiforme Xenografts.

Cancers·2026
Same author

Simultaneous Establishment of Autologous Colorectal Cancer and Mesothelial Stromal Cell Lines from Malignant Ascites Reveals a Mesothelial-Stromal FGFR3 Axis as a Potential Vulnerability in Peritoneal Metastasis.

Cancer medicine·2026
Same author

Circulating Thrombospondin-4-Positive Fibroblasts Might be a Useful Marker for Diagnosis of Gastric Cancer.

Cancer medicine·2026
Same author

AI-Generated Motifs Distinguish Altered Spatiotemporal Pain Response in the VTA of Mice With Chronic Pain.

IEEE journal of biomedical and health informatics·2026
Same author

Targeting fibroblast derived thrombospondin 2 disrupts an immune-exclusionary environment at the tumor front in colorectal cancer.

Nature communications·2025

Fractal dimension analysis of acceleration signals effectively distinguishes walking types and gait changes in aging and Parkinson's disease. This method offers a reproducible way to assess gait complexity.

Area of Science:

  • Biomechanics
  • Signal Processing
  • Gerontology

Background:

  • Gait analysis is crucial for understanding mobility.
  • Aging and Parkinson's disease significantly alter gait patterns.
  • Objective methods are needed to quantify gait changes.

Purpose of the Study:

  • To classify walking types (corridor, stairs) using wavelet-based fractal analysis.
  • To evaluate gait in elderly subjects and Parkinson's patients.
  • To assess the effectiveness of fractal dimension in gait evaluation.

Main Methods:

  • Triaxial acceleration signals were collected during walking tasks.
  • Discrete wavelet transform decomposed signals into multiple scales.
  • Fractal dimension was estimated from variance progression of detailed signals.

Related Experiment Videos

Main Results:

  • Fractal dimensions significantly differed among walking types (p < 0.01) with high reproducibility.
  • Elderly subjects exhibited significantly higher fractal dimensions than young subjects (p < 0.01).
  • Parkinson's patients showed a trend towards higher fractal dimensions compared to healthy individuals.

Conclusions:

  • Wavelet-based fractal dimension analysis is effective for classifying walking types.
  • Gait complexity increases with aging and Parkinson's disease.
  • Fractal dimension serves as a valuable tool for evaluating gait in these populations.