Beneficios del uso de la Técnica Wiihabilitacion en pacientes con diagnóstico de evento cerebrovascular, en etapa de recuperación relativa.
Bibliographic record
Abstract
RESUEMEN: La Enfermedad Cerebrovascular se define como: el desarrollo rápido de signos clínicos de disturbios de la función cerebral, siendo la tercera causa de muerte en los países industrializados y es la primera causa de invalidez en el mundo. Donde la hipertensión, diabetes, obesidad, sobrepeso, edad, sexo son algunos de los principales factores de riesgo. Hasta el 85% de los pacientes experimentan Hemiparesia inmediatamente después del ECV. El 75% de los sobrevivientes continúan experimentando déficits motores. Con el aumento de casos de ECV también se ha dado el desarrollo y avances de nuevas tecnologías que son de mucho beneficio, como métodos de fisioterapia una de ellas es el nuevo Nintendo Wii, una consola de videos juegos que ayudan a la interacción del paciente con las realidades virtuales. A partir de todos estos datos, se toma en cuenta un trabajo de investigación del Hospital Toronto Rehabilitación Institute (Toronto Rehab) Canadá. El estudio canadiense revela que los pacientes de ECV en recuperación, cuyo régimen en fisioterapias ha sido conformado con juego de videos en la Wii con la técnica llamada WiiHabilitacion, parecen mejorar más que los pacientes tratados con terapias estándares. El Hospital de Toronto, explica que con este tipo de abordajes se logran beneficios en el paciente en equilibrio, coordinación general, propiciación y condición física. Con una muestra de nueve pacientes con EVC en etapa de recuperación relativa, cumpliendo los criterios de inclusión, se analiza los siguientes resultados según la SIS (Escala de Impacto del ECV); la cual mide: fuerza, función de la mano, movilidad, comunicación, emoción, pensamiento, memoria y participación. Con este estudio se da a conocer una nueva técnica de abordaje en el tratamiento de los pacientes que han sufrido un EVC y los beneficios que traen las nuevas tecnologías, aplicándolas con un objetivo terapéutico y de rehabilitación. \nABSTRAC: Cerebrovascular Disease is defined as: the rapid development of clinical signs of disturbances in brain function, being the third cause of death in industrialized countries and the first cause of disability in the world. Where hypertension, diabetes, obesity, overweight, age, sex are some of the main risk factors. Up to 85% of patients experience hemiparesis immediately after stroke. 75% of survivors continue to experience motor deficits. With the increase in CVD cases, there has also been the development and advancement of new technologies that are very beneficial, such as physiotherapy methods, one of them is the new Nintendo Wii, a video game console that helps the patient interact with virtual realities. From all these data, a research work by the Toronto Rehabilitation Institute Hospital (Toronto Rehab) Canada is taken into account. The Canadian study reveals that recovering CVD patients, whose physiotherapy regimen has been conformed to playing video games on the Wii with the technique called WiiHabilitation, seem to improve more than patients treated with standard therapies. The Toronto Hospital explains that with this type of approach benefits are achieved in the patient in balance, general coordination, propitiation and physical condition. With a sample of nine patients with CVD in the stage of relative recovery, meeting the inclusion criteria, the following results are analyzed according to the SIS (CVD Impact Scale); which measures: strength, hand function, mobility, communication, emotion, thinking, memory and participation. With this study, a new approach technique is disclosed in the treatment of patients who have suffered a stroke and the benefits that new technologies bring, applying them with a therapeutic and rehabilitation objective
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".