Skip to content

Performance of people with physical disabilities in virtual reality use

Analysis of motor performance of people with stroke through virtual reality

Status
Active, not recruiting
Phases
Unknown
Study type
Interventional
Source
REBEC
Registry ID
RBR-4m4pkx
Enrollment
Unknown
Registered
2018-08-24
Start date
2017-11-13
Completion date
Unknown
Last updated
2025-10-27

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

stroke

Interventions

Sixty volunteers with a diagnosis of stroke aged between 24 and 77 years will participate in the study. After screening of the recruitment process and initial evaluation - where the characterization o
Device
L01.224.160.875

Sponsors

Escola de Artes, Ciências e Humanidades da Universidade de São Paulo
Lead Sponsor
Escola de Artes, Ciências e Humanidades da Universidade de São Paulo
Collaborator

Eligibility

Age
23 Years to 78 Years

Inclusion criteria

Inclusion criteria: Inclusion criteria: diagnosed for stroke for more than one year age greater than 18 years; have the cognitive ability to understand and respond to the proposed scales with minimum score values 13, evaluated by the minimal; absence of surgeries in the assessed upper limb

Exclusion criteria

Exclusion criteria: As exclusion criterion, no patient was admitted with the presence of associated diseases that could interfere with the protocol, such as Parkinson's; patients with severe aphasia and visual and / or auditory disorders that impede the comprehension and response of the items of the evaluation scales

Design outcomes

Primary

MeasureTime frame
Patients with stroke will improve their runtime on the virtual task in AGar, which will log the task execution data. This improvement will be evaluated by means of the statistical difference between the error variables (recorded in milliseconds).

Secondary

MeasureTime frame
Patients with stroke will increase the amount of correct discards in the virtual task in AGar, which will record the data of the task execution. This improvement will be evaluated by means of the statistical difference between the quantity of correct discards (in absolute values).

Countries

Brazil

Contacts

Public ContactFrancisca Guerreiro

Escola de Artes, Ciências e Humanidades da Universidade de São Paulo

francisca.si.guerreiro@gmail.com+5511989397040

Outcome results

None listed

Source: REBEC (via WHO ICTRP)