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this study will be conducted to investigate the effect of artificial intelligence based gamification training on cognition and functional outcomes in patients with stroke
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.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| AI gamification | Experimental | twenty patients will receive cognitive tasks accompanied by cognitive-driven motor tasks by AI gamification plus conventional therapy three times per weeks for four weeks |
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| conventional therapy | Active Comparator | twenty patients will receive conventional therapy exercises three times per weeks for four weeks |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| AI gamification | Other | 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 6 minutes , three times per week for 4 weeks. The patients Will receive AI gamification via X-box with 3 D kinetic motion analysis 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 |
| Measure | Description | Time Frame |
|---|---|---|
| cognitive disability | 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. | up to four weeks |
| upper limb function | 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. | up to four weeks |
| handgrip strength | A handheld dynamometer will be used for assessing hand grip strength | up to four weeks |
| kinetic motion analysis | X - Box kinetic motion sensor devcie will be used for assessing motion analysis | up to four weeks |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Mai shehab, master | Contact | 011 55432017 | mairabee050@gmail.com |
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| ID | Term |
|---|---|
| D020521 | Stroke |
| ID | Term |
|---|---|
| D002561 | Cerebrovascular Disorders |
| D001927 | Brain Diseases |
| D002493 | Central Nervous System Diseases |
| D009422 | Nervous System Diseases |
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Artificial Intelligence Based Gamification Training and Exercise Program
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opaque sealed envelope
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| conventional therapy | Other | the patiens will receive conventional therapy exercises in the form of flexibility exercises, strengthening exercises, Aerobic training exercise
Aerobic training exercise, as a form of cognitive training exercises |
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| D014652 | Vascular Diseases |
| D002318 | Cardiovascular Diseases |