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

Classifying mental stress from eye tracking data: deep learning approaches for out-of-the-lab conditions.

Scientific reports·2026
Same author

Structural Insights Into Man<sub>9</sub> Recognition by the HIV Antibody 2G12 Revealed by Paramagnetic NMR.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same author

Contactless Sleep Staging With Radar: A Transfer Learning Approach.

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

Acceptance, Perceived Usefulness, and Data Sharing in Mobile Health Apps Among Patients With Breast Cancer: Cross-Sectional Survey Study.

JMIR cancer·2026
Same author

Predictive simulations of postural control: exploring the role of signal noise and neural delays in Parkinson's disease.

Scientific reports·2026
Same author

Enhancing lectin recognition via precise fluorination: Man<sub>5</sub> glycomimetics for targeting DC-SIGN.

Bioorganic chemistry·2026
Same journal

Analysis of End-Tidal CO2 Variability During Plateau Waves Episodes: An Information Theoretic Approach<sup></sup>.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

AI and Tomosynthesis for Breast Cancer Molecular Subtyping: A step toward precision medicine<sup></sup>.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

Towards Sustainable Protein Recovery from Biological Waste: Assessing Polyethersulfone-based Microfiltration.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

Analysis of the cardiovascular response to standardized polymicrobial peritonitis experimental model.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

Automated Wrist Ultrasound Image Bone Enhancement and Segmentation Using Deep Learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

A Deep Learning approach for Depressive Symptoms assessment in Parkinson's disease patients using facial videos.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
See all related articles

Related Experiment Video

Updated: Dec 30, 2025

Author Spotlight: Exploring Breathing Techniques and Digital Solutions for Enhancing Running Performance
06:26

Author Spotlight: Exploring Breathing Techniques and Digital Solutions for Enhancing Running Performance

Published on: September 27, 2024

830

A Mobile Solution for Rhythmic Auditory Stimulation Gait Training.

Katharina Aholt, Bjoern M Eskofier, Christine F Martindale

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |January 18, 2020
    PubMed
    Summary
    This summary is machine-generated.

    Parkinson's disease patients showed improved walking with rhythmic auditory stimulation (RAS). A new mobile system enables home-based monitoring of RAS effectiveness on gait parameters, paving the way for future clinical studies.

    More Related Videos

    A Method for Evaluating Timeliness and Accuracy of Volitional Motor Responses to Vibrotactile Stimuli
    07:28

    A Method for Evaluating Timeliness and Accuracy of Volitional Motor Responses to Vibrotactile Stimuli

    Published on: August 2, 2016

    7.6K
    A Vibrotactile Feedback Device for Seated Balance Assessment and Training
    09:13

    A Vibrotactile Feedback Device for Seated Balance Assessment and Training

    Published on: January 20, 2019

    6.7K

    Related Experiment Videos

    Last Updated: Dec 30, 2025

    Author Spotlight: Exploring Breathing Techniques and Digital Solutions for Enhancing Running Performance
    06:26

    Author Spotlight: Exploring Breathing Techniques and Digital Solutions for Enhancing Running Performance

    Published on: September 27, 2024

    830
    A Method for Evaluating Timeliness and Accuracy of Volitional Motor Responses to Vibrotactile Stimuli
    07:28

    A Method for Evaluating Timeliness and Accuracy of Volitional Motor Responses to Vibrotactile Stimuli

    Published on: August 2, 2016

    7.6K
    A Vibrotactile Feedback Device for Seated Balance Assessment and Training
    09:13

    A Vibrotactile Feedback Device for Seated Balance Assessment and Training

    Published on: January 20, 2019

    6.7K

    Area of Science:

    • Neurology
    • Biomedical Engineering
    • Rehabilitation Technology

    Background:

    • Parkinson's disease (PD) impairs gait, affecting mobility and quality of life.
    • Rhythmic auditory stimulation (RAS) has demonstrated improvements in PD gait parameters, including stride length, stride time variability, and walking speed.
    • Continuous, naturalistic monitoring of gait and RAS effects is needed for effective home-based rehabilitation.

    Purpose of the Study:

    • To propose and validate a mobile system for home-based assessment of Rhythmic Auditory Stimulation (RAS) in Parkinson's disease patients.
    • To investigate suitable RAS frequencies for gait training using existing PD datasets.
    • To enable continuous monitoring of RAS effects on gait in natural environments.

    Main Methods:

    • Development of a mobile system integrating RAS gait training and data acquisition.
    • Implementation of a peak detection algorithm for cadence calculation based on mid-swing events.
    • Validation of the system and algorithms using a cohort of 13 PD patients and comparison with the eGaIT system.

    Main Results:

    • The proposed mobile system successfully facilitated home-based RAS gait training and data acquisition.
    • Cadence calculation algorithm demonstrated high accuracy, validated against a state-of-the-art system.
    • Mean F1 score for stride detection was 97.57% ± 0.86%, and mean absolute error for cadence was 0.16 spm ± 0.09 spm.

    Conclusions:

    • The developed mobile solution provides a feasible platform for home-based RAS gait training and assessment in PD.
    • This technology lays the foundation for larger clinical studies on the efficacy of mobile RAS in Parkinson's disease.
    • Future research can leverage this system to investigate long-term effects and optimize personalized gait rehabilitation strategies.