Evidence map›Paper›PMID 37868274›Full record

ArticleFrontiers in robotics and AI2023

A novel socially assistive robotic platform for cognitive-motor exercises for individuals with Parkinson's Disease: a participatory-design study from conception to feasibility testing with end users.

Dor Raz, Shirel Barkan-Slater, Ilanit Baum-Cohen, Gal Vissel, Yeela Lahav-Raz, Amir Shapiro, Shelly Levy-Tzedek

Abstract read
In one paragraph

Article in Frontiers in robotics and AI, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Dor RazDepartment of Mechanical Engineering, Ben-Gurion University of the Negev, Beer-Sheva, Israel.
Shirel Barkan-SlaterDepartment of Cognitive and Brain Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel.
Ilanit Baum-CohenTzeadim Neurorehabilitation Center and Parkinson's and Movement Disorders Rehabilitation Unit, Sheba Medical Center, Beer-Sheva, Israel.
Gal VisselDepartment of Sociology and Anthropology, Ben-Gurion University of the Negev, Beer-Sheva, Israel.
Yeela Lahav-RazDepartment of Sociology and Anthropology, Ben-Gurion University of the Negev, Beer-Sheva, Israel.
Amir ShapiroDepartment of Mechanical Engineering, Ben-Gurion University of the Negev, Beer-Sheva, Israel.
Shelly Levy-TzedekDepartment of Physical Therapy, Recanati School for Community Health Professions, Ben-Gurion University of the Negev, Beer-Sheva, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The potential of socially assistive robots (SAR) to assist in rehabilitation has been demonstrated in contexts such as stroke and cardiac rehabilitation. Our objective was to design and test a platform that addresses specific cognitive-motor training needs of individuals with Parkinson's disease (IwPD). We used the participatory design approach, and collected input from a total of 62 stakeholders (IwPD, their family members and clinicians) in interviews, brainstorming sessions and in-lab feasibility testing of the resulting prototypes. The platform we developed includes two custom-made mobile desktop robots, which engage users in concurrent cognitive and motor tasks. IwPD (n = 16) reported high levels of enjoyment when using the platform (median = 5/5) and willingness to use the platform in the long term (median = 4.5/5). We report the specifics of the hardware and software design as well as the detailed input from the stakeholders.

Indexed as

cognitive trainingfeasibility testingmotor trainingParkinson’s diseaseparticipatory designrehabilitationsocially assistive robots

Identifiers

PMID37868274
PMCPMC10587405

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.