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Analysis of motor learning in people after stroke through computer games

Analysis of Motor Learning of the upper limbs after intervention with Non-Immersive Virtual Reality in individuals after stroke

Status
Active, not recruiting
Phases
Unknown
Study type
Interventional
Source
REBEC
Registry ID
RBR-8b6b9r
Enrollment
Unknown
Registered
2020-09-18
Start date
2020-01-01
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

12 adults and elderly people aged 40 to 75 years with stroke sequelae, will initially be assessed sensorimotor function, cognitive function, handgrip strength, motor function of upper limbs, balance a
L01.224.160.875

Sponsors

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

Eligibility

Age
40 Years to 75 Years

Inclusion criteria

Inclusion criteria: Adults and the elderly between 40 and 75 years old, with sequelae of Stroke at least two months after injury and adequate mental and cognitive function, verified by the Mini Mental State Examination (MMSE).

Exclusion criteria

Exclusion criteria: The existence of visual changes; deformities; recent neuromuscular unblocking (last six months)

Design outcomes

Primary

MeasureTime frame
Expected outcome 1: Improvement of motor learning of individuals after stroke with non-immersive virtual reality intervention. The outcome is being analyzed;Expected outcome 2: Check cognitive status, sensorimotor function, severity of stroke and the prognosis of functional improvement, handgrip strength, manual dexterity, static and dynamic balance. With the following instruments: Mini Mental State Examination, Fugl Meyer Rating Scale - EFM stroke severity and estimates the prognosis of functional improvement (Orpington Scale), manual dexterity (Box and Block Test) hand grip strength (Dynamometry ), static and dynamic balance (Berg Scale);Expected outcome 3: check motor learning, using computer software, to check the time of movement interception and range of motor performance by the software. The outcome is being analyzed

Secondary

MeasureTime frame
Secondary outcomes are not expected

Countries

Brazil

Contacts

Public ContactGabriela;Maria Tereza Caldeira;Dantas

;

gabriela.gac54@gmail.com;mariatereza@unoeste.br+55018996655595;+55018997723787

Outcome results

None listed

Source: REBEC (via WHO ICTRP)