Stroke
Conditions
Keywords
Artificial Intelligence Based Gamification Training, Cognition, Functional Outcomes
Brief summary
this study will be conducted to investigate the effect of artificial intelligence based gamification training on cognition and functional outcomes in patients with stroke
Detailed description
Stroke is a neurological disorder characterized by blockage of blood vessels. Clots form in the brain and interrupt blood flow, clogging arteries and causing blood vessels to break, leading to bleeding. Rupture of the arteries leading to the brain during stroke results in the sudden death of brain cells owing to a lack of oxygen. Stroke can also lead to depression and dementia.Cognitive impairment refers to a broad range of deficits in cognitive function, including memory, attention, executive function, language, and visuo-spatial skills. Understanding the connection between stroke and cognitive impairment is crucial for effectively managing symptoms and improving stroke survivors' quality of life.Gamified interventions outperformed conventional therapies in reducing task, completion time , Sustained Engagement. AI-driven adaptive systems, such as the Bright Brainer Grasp (BBG) controller, increased patient motivation by dynamically adjusting difficulty levels based on real-time performance reducing caregiver oversight. BCI and Gamification Synergy , Brain-Computer Interface (BCI) systems combined with gamified tasks (e.g., CoWMeG) improved upper limb motor function. Motor Imagery: Enhanced neural plasticity through imagined movements .Mirror Neuron Activation: Visual feedback from avatars reinforced motor learning..Therefore this study will be designed to investigate the effect of gamification AI based training on cognition in patients with stroke.
Interventions
OTHERAI gamification
The treatment program for AI gamification group will be in the form of cognitive tasks accompanied by cognitive driven motor tasks ( integrating cognitive strategies into motor tasks) exercises of the upper limb (shoulder, elbow, hand) in the form of AI gamification model. For each patient in study group, session will be for 60 minutes , three times per week for 4 weeks. The patients Will receive AI gamification via VR giving the patient real time feedback, visual and auditory feedback about the range and task .Using this technology we will gain the benefits of both AI and Gamification, the patients will be engaged in the exercise intensively and for a longer time with out getting bored and the tasks will be enjoyable to capture their attention , in addition to traditional training plus conventional therapy
OTHERconventional therapy
the patiens will receive conventional therapy exercises in the form of flexibility exercises, strengthening exercises, Aerobic training exercise * flexibility exercises , it will be in the form of functional stretching for shoulder adductors and flexors, elbow flexors ,wrist and finger flexors * strengthening exercises , it will be mainly strengthening exercises for upper limb (shoulder extensors, elbow , wrist and finger extensors) in addition to trunk control exercises targeting proximal stability for distal mobility. Aerobic training exercise, as a form of cognitive training exercises
Sponsors
Cairo University
Study design
Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
TREATMENT
Masking
SINGLE (Outcomes Assessor)
Masking description
opaque sealed envelope
Intervention model description
Artificial Intelligence Based Gamification Training and Exercise Program
Eligibility
Sex/Gender
ALL
Age
45 Years to 60 Years
Healthy volunteers
No
Inclusion criteria
* Forty hemiplegic patients with mild post stroke cognitive impairment. * The patients age will be 45 to 60. * Chronic stroke (6 months post-stroke). * Score of 1 to 1+ to points on the Modified Ashworth Scale (MAS) on upper limb (shoulder , elbow ,hand). * Stage of recovery 4-5 brunnstrom * Essential educational level ( at least high school level) * BMI will be ranged from 18,5 -24.9 kg\\m2
Exclusion criteria
* Moderate and severe post stroke cognitive impairment * Excluding cognitive impairment for any other psychological or neurological disease such as depression and dementia * history of recent upper limb surgery * Any musculoskeletal disorders of upper extremity (e.g fractures or injuries) * Having a heart pacemaker, pregnancy * Other neurological diseases or cancer * Hormonal disturbances
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| cognitive disability | up to four weeks | cognition will be measured by Smart phone- based cognitive assessement allows older adults to be more engaged in cognitive screening and monitoring both inside and outside the clinic. It provide advantages over the traditional cognitive testing such as cost ,time saving, more detailed response metric recordings, automated data collection and scoring. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| upper limb function | up to four weeks | Wolf Motor Functional scale will be used for assessment of upper limb function.The original version of the WMFT consisted of 21 items. The widely used version of the WMFT consists of 17 items .It is composed of three parts namely, time, functional ability (items 1-6) and strength (items 7-14). Remaining 9 items involves analysing movement quality when completing various tasks. The less affected side is tested first, followed by the affected limb. The following tasks should be completed as quickly as possible, with a 120-second time limit. |
| Kinovea motion analysis | up to four weeks | Kinovea for assessment of shoulder ROM and Timing |
| handgrip strength | up to four weeks | A handheld dynamometer will be used for assessing hand grip strength |
Countries
Egypt
Outcome results
None listed