A Novel Robotic System for Motor-cognitive Exercise for Patients With Parkinson's Disease
NCT ID: NCT06730074
Last Updated: 2024-12-17
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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RECRUITING
NA
15 participants
INTERVENTIONAL
2024-12-12
2025-08-31
Brief Summary
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Detailed Description
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Recruitment: Advertising ads in movement disorders units in hospitals and medical centers in the south, as well as through the help of the Parkinson's Association.
The study will be conducted with 15 PD patients, aged 50-75, at the Adi Negev Clinic. Each patient will use the robotic system five times, with each session lasting 30 minutes. The intervention plan incorporates principles of effective rehabilitation practice, including repeated practice, goal-oriented practice, variable difficulty, rhythmic cueing, and social interaction. Before the research begins, participants will sign an informed consent form.
Baseline and Pre-Post Tests:
Assessments including the MoCA, demographic data, clinical data, Color Trails Test (CTT), motor UPDRS, Box \& Blocks Test, and Cognitive Reserve Index Questionnaire (CRIq) will be collected before the first session by an occupational or physical therapist. After the fifth session, post-intervention assessments will include motor UPDRS, Box \& Blocks Test, CTT, System Usability Scale (SUS), Intrinsic Motivation Inventory (IMI), and a satisfaction questionnaire.
Hypothesis:
It is hypothesized that motor and cognitive training using the robots will improve the patients' clinical symptoms, as evidenced by pre-post test results.
Novelty \& Impact:
This is the first socially assistive robotic platform developed specifically for people with PD. If successful, this platform could be incorporated into the clinical toolbox at Adi Negev and other centres. Additionally, this study will be the first to use the Cognitive Reserve Index Questionnaire (CRIq) in Hebrew for people with PD. The potential impact of this project is twofold: testing a new rehabilitation tool and a screening tool for PD patients.
Conditions
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Study Design
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NA
SINGLE_GROUP
HEALTH_SERVICES_RESEARCH
NONE
Study Groups
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Gamified rehabilitation system involving robot for individuals with Parkinson's
We will run a robotic exercise game with 15 PD patients who will use the system in a sitting position. Each patient will use the system 5 times, each time for 30 min. Principles of effective rehabilitation practice such as repetitive practice, goal-oriented practice, variable difficulty, rhythmic cueing, and social interaction are implemented in our design
Using a gamified rehabilitation system in a sitting position involving robots and music for the benefit of individuals with Parkinson's disease (PD)
This is the first socially assistive robotic platform developed specifically for people with PD. If successful, this platform could be incorporated into the clinical toolbox at Adi Negev and other centres.
Interventions
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Using a gamified rehabilitation system in a sitting position involving robots and music for the benefit of individuals with Parkinson's disease (PD)
This is the first socially assistive robotic platform developed specifically for people with PD. If successful, this platform could be incorporated into the clinical toolbox at Adi Negev and other centres.
Eligibility Criteria
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Inclusion Criteria
* Men and women in ages 50-75
* Hebrew speakers
* Have Idiopathic Parkinson's disease
* Hoehn and Yahr 3 and below
* Moca test 23 and above
Exclusion Criteria
* PD patients who suffer from unrelated neurological symptoms.
* Orthopedic problems of the upper limb
* Recent surgery conducted on the upper limb
* Uncorrected vision problems
* Uncorrected severe hearing loss
50 Years
75 Years
ALL
No
Sponsors
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Adi Negev-Nahalat Eran
OTHER
Responsible Party
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Ilanit Baum-Cohen
Occupational Therapist
Locations
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Adi Negev
Ofakim, South, Israel
Countries
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Central Contacts
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Facility Contacts
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Other Identifiers
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0005-NGV-24
Identifier Type: -
Identifier Source: org_study_id
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