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 author

Ultrasound-Guided Low-Dose Hyaluronidase for Infraorbital Artery Occlusion with Secondary Gingival Ischemia After Hyaluronic Acid Filler Injection: A Case Report.

Diagnostics (Basel, Switzerland)·2026

Same author

Understanding Energy Expenditure: An Approach to Improving Activities of Daily Living in Huntington's Disease.

Journal of clinical medicine·2026

Same author

Correction: Post-recurrence management of malignant glial brain tumors: therapeutic strategies, evidence and limitations, palliative care, terminal sedation, and end-of-life considerations.

Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico·2026

Same author

Timing Matters: Early Versus Delayed Rehabilitation After Total Knee Arthroplasty and Its Impact on Functional Recovery-A Systematic Review.

Journal of functional morphology and kinesiology·2026

Same author

Chorea-Acanthocytosis: From Motor to Behavioral and Olfactory Profiles.

The Canadian journal of neurological sciences. Le journal canadien des sciences neurologiques·2026

Same author

Post-recurrence management of malignant glial brain tumors: therapeutic strategies, evidence and limitations, palliative care, terminal sedation, and end-of-life considerations.

Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico·2026

Search research articles

Related Experiment Video

Updated: Aug 9, 2025

Author Spotlight: Rehabilitation of Stroke Patients With a Digital Occupational Training System

Author Spotlight: Rehabilitation of Stroke Patients With a Digital Occupational Training System

Published on: December 29, 2023

A Low-Cost System Using a Big-Data Deep-Learning Framework for Assessing Physical Telerehabilitation: A

José Miguel Ramírez-Sanz¹, José Luis Garrido-Labrador¹, Alicia Olivares-Gil¹

¹Escuela Politécnica Superior, Departamento de Ingeniería Informática, Universidad de Burgos, Avda. Cantabria s/n, 09006 Burgos, Spain.

Healthcare (Basel, Switzerland)

|February 25, 2023

Summary

This study presents a telerehabilitation system for Parkinson's disease patients in remote areas. It uses AI and big data for remote exercise assessment, improving accessibility and therapist support.

Keywords:

Parkinson’s disease artificial intelligence in healthcare big data telemedicine telerehabilitation

More Related Videos

A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program

A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program

Published on: April 19, 2019

A Human-machine-interface Integrating Low-cost Sensors with a Neuromuscular Electrical Stimulation System for Post-stroke Balance Rehabilitation

A Human-machine-interface Integrating Low-cost Sensors with a Neuromuscular Electrical Stimulation System for Post-stroke Balance Rehabilitation

Published on: April 12, 2016

Related Experiment Videos

Last Updated: Aug 9, 2025

Author Spotlight: Rehabilitation of Stroke Patients With a Digital Occupational Training System

Author Spotlight: Rehabilitation of Stroke Patients With a Digital Occupational Training System

Published on: December 29, 2023

A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program

A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program

Published on: April 19, 2019

A Human-machine-interface Integrating Low-cost Sensors with a Neuromuscular Electrical Stimulation System for Post-stroke Balance Rehabilitation

A Human-machine-interface Integrating Low-cost Sensors with a Neuromuscular Electrical Stimulation System for Post-stroke Balance Rehabilitation

Published on: April 12, 2016

Area of Science:

Medical Technology
Rehabilitation Science
Artificial Intelligence

Background:

Telerehabilitation offers cost-effective and accessible treatment, especially for remote populations.
Ensuring professional oversight for therapeutic exercises remains crucial in remote rehabilitation.
Parkinson's disease requires consistent therapy, often challenging for patients in remote locations.

Purpose of the Study:

To develop and present a full-stack telerehabilitation system for Parkinson's disease patients in underserved areas.
To leverage big data and AI for remote patient monitoring and exercise evaluation.
To enhance communication and support between patients and occupational therapists.

Main Methods:

Implementation of a full-stack telerehabilitation system utilizing big data frameworks.
Real-time skeleton identification and pose estimation via deep neural networks (AI).
Automated evaluation of patient exercises based on recorded sessions and movement analysis.

Main Results:

The system facilitates patient-therapist communication and records therapy sessions.
AI-driven skeleton identification enables automated assessment of corporal exercises.
Big data technologies efficiently process large volumes of patient video data.

Conclusions:

The developed telerehabilitation system effectively supports Parkinson's disease patients in remote areas.
AI and big data integration enhance the accuracy and efficiency of remote therapeutic exercise evaluation.
This approach improves access to specialized rehabilitation and supports occupational therapists.