Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same authorSame journal

A GenAI Pipeline for Violinist Kinematic Data Management.

Studies in health technology and informatics·2026

Same author

The use and methodological reporting of large language models in qualitative research: a scoping review.

BMC medical research methodology·2026

Same author

Empowering Citizen Participation in Digital Health: Requirements for Effective e-Participation Platforms.

Studies in health technology and informatics·2026

Same author

Exploring Citizens' Participation Preferences in the Development and Evaluation of Digital Health Interventions.

Studies in health technology and informatics·2026

Same author

Effects of large language model-generated, patient-oriented discharge summaries on patient activation: a single-centre, single-blind, randomised controlled trial in Germany.

The Lancet. Digital health·2026

Same author

User Acceptance of Smart Home Emergency Response Systems: Mixed Methods Study.

JMIR human factors·2026

Search research articles

Related Experiment Video

Updated: May 15, 2025

Biomechanical Changes Related to Low Back Pain: An Innovative Tool for Movement Pattern Assessment and Treatment Evaluation in Rehabilitation

Biomechanical Changes Related to Low Back Pain: An Innovative Tool for Movement Pattern Assessment and Treatment Evaluation in Rehabilitation

Published on: December 13, 2024

Designing a Physiotherapy Integrated Diagnostic System Incorporating Clinical Motion Analysis of Musicians.

Eduard Wolf^1,2,3, Karsten Morisse², Sven Meister^1,3

¹Health Informatics, Faculty of Health, Witten/Herdecke University, Witten, Germany.

Studies in Health Technology and Informatics

|April 9, 2025

Summary

Musicians

Keywords:

Health technology system clinical decision support musculoskeletal disorders musicians’ health

More Related Videos

Author Spotlight: Enhancing Remote Rehabilitation with Virtual Reality and Electromyography

Author Spotlight: Enhancing Remote Rehabilitation with Virtual Reality and Electromyography

Published on: January 12, 2024

Multifunctional Setup for Studying Human Motor Control Using Transcranial Magnetic Stimulation, Electromyography, Motion Capture, and Virtual Reality

Multifunctional Setup for Studying Human Motor Control Using Transcranial Magnetic Stimulation, Electromyography, Motion Capture, and Virtual Reality

Published on: September 3, 2015

Related Experiment Videos

Last Updated: May 15, 2025

Biomechanical Changes Related to Low Back Pain: An Innovative Tool for Movement Pattern Assessment and Treatment Evaluation in Rehabilitation

Biomechanical Changes Related to Low Back Pain: An Innovative Tool for Movement Pattern Assessment and Treatment Evaluation in Rehabilitation

Published on: December 13, 2024

Author Spotlight: Enhancing Remote Rehabilitation with Virtual Reality and Electromyography

Author Spotlight: Enhancing Remote Rehabilitation with Virtual Reality and Electromyography

Published on: January 12, 2024

Multifunctional Setup for Studying Human Motor Control Using Transcranial Magnetic Stimulation, Electromyography, Motion Capture, and Virtual Reality

Multifunctional Setup for Studying Human Motor Control Using Transcranial Magnetic Stimulation, Electromyography, Motion Capture, and Virtual Reality

Published on: September 3, 2015

Area of Science:

Biomedical Engineering
Rehabilitation Science
Sports Medicine

Background:

Musicians frequently experience musculoskeletal disorders, necessitating advanced diagnostic and therapeutic approaches.
Current clinical practices may lack the precision required for effective musician-specific rehabilitation.
The RefLabPerform project addresses this gap by integrating technology into clinical workflows.

Purpose of the Study:

To present a novel Clinical Movement Analysis (CMA) process workflow.
To introduce an integrated diagnostic system for musician musculoskeletal health.
To enhance diagnosis, personalize therapy, and monitor rehabilitation progress.

Main Methods:

Development of a modular system for data acquisition, management, and integration.
Implementation of core components: documentation, dashboard, survey tools, and laboratory information management systems.
Establishment of a central communication server for seamless data flow.

Main Results:

A comprehensive CMA process workflow has been established.
An integrated diagnostic system with modular subsystems is presented.
The system facilitates streamlined workflows and data-driven decision-making for musician health.

Conclusions:

The integrated CMA system offers a precise and personalized approach to treating musician musculoskeletal disorders.
This technological integration supports efficient data management and enhances clinical decision-making.
The RefLabPerform system is poised to improve rehabilitation outcomes for performing artists.