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

Inertial Measurement Techniques for Human Joints' Movement Analysis.

Harriet Nwaizu1, Reza Saatchi1, Derek Burke2

  • 1Materials and Engineering Research Institute, Sheffield Hallam University, Sheffield, UK.

Studies in Health Technology and Informatics
|September 7, 2017
PubMed
Summary

Researchers developed new methods using accelerometers and gyroscopes to monitor human joint movements. A novel wavelet technique improved accelerometer signal quality for analyzing leg motion.

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

Developments in Deep Learning Artificial Neural Network Techniques for Medical Image Analysis and Interpretation.

Diagnostics (Basel, Switzerland)·2025
Same author

Fabry disease Enzyme Enhancement on migalastat Study: FEES.

Clinica chimica acta; international journal of clinical chemistry·2024
Same author

Convolutional Neural Network to Classify Infrared Thermal Images of Fractured Wrists in Pediatrics.

Healthcare (Basel, Switzerland)·2024
Same author

Evaluation, in a highly specialised enzyme laboratory, of a digital microfluidics platform for rapid assessment of lysosomal enzyme activity in dried blood spots.

JIMD reports·2024
Same author

Cutaneous Perfusion Dynamics of the Lower Abdomen in Healthy Normal Weight, Overweight and Obese Women: Methods Development Using Infrared Thermography with Applications for Future Wound Management after Caesarean Section.

International journal of environmental research and public health·2023
Same author

Making Emergency Surgical Decisions Without any Imaging Evidence: A Case Report of Complicated Diverticular Phlegmon.

Journal of clinical medicine research·2022

Area of Science:

  • Biomechanics
  • Signal Processing
  • Human Movement Analysis

Background:

  • Inertia measurement units (IMUs) comprising accelerometers and gyroscopes are valuable for motion tracking.
  • Accurate signal processing is crucial for reliable human joint movement monitoring.
  • Existing methods may struggle with noise in accelerometer data.

Purpose of the Study:

  • To develop and assess techniques for using IMUs in human joint movement monitoring.
  • To introduce a novel signal denoising method for accelerometer data.
  • To investigate the application of accelerometers in analyzing leg movements.

Main Methods:

  • Development of new techniques for IMU-based joint monitoring.
  • Implementation of a wavelet packet decomposition technique for signal denoising.
Keywords:
accelerometrygait analysisjoint-movement analysiswavelet analysis

Related Experiment Videos

  • Experimental analysis of accelerometer data for leg movement assessment.
  • Main Results:

    • Successful development of techniques for IMU-based joint movement monitoring.
    • The novel wavelet packet decomposition effectively denoised accelerometer signals.
    • Demonstrated the utility of accelerometers in analyzing human leg movements.

    Conclusions:

    • IMUs can be effectively utilized for monitoring human joint movements with appropriate techniques.
    • Wavelet packet decomposition offers a promising approach for enhancing accelerometer signal quality.
    • Accelerometers provide valuable data for the analysis of lower limb kinematics.