Effect of Artificial Intelligence Based Gamification Training on Cognition and Functional Outcomes in Patients With Stroke
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 入组人数
- 40
- 试验地点
- 1
- 主要终点
- cognitive disability
研究概览
简要总结
this study will be conducted to investigate the effect of artificial intelligence based gamification training on cognition and functional outcomes in patients with stroke
详细描述
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.
研究设计
- 研究类型
- Interventional
- 分配方式
- Randomized
- 干预模型
- Parallel
- 主要目的
- Treatment
- 盲法
- Single (Outcomes Assessor)
盲法说明
opaque sealed envelope
入排标准
- 年龄范围
- 45 Years 至 60 Years（Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •Forty hemiplegic patients with mild post stroke cognitive impairment.
- •The patients age will be 45 to
- •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
排除标准
- •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
研究组 & 干预措施
AI gamification
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
干预措施: AI gamification (Other)
AI gamification
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
干预措施: conventional therapy (Other)
conventional therapy
twenty patients will receive conventional therapy exercises three times per weeks for four weeks
干预措施: conventional therapy (Other)
结局指标
主要结局
cognitive disability
时间窗: 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.
upper limb function
时间窗: 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.
handgrip strength
时间窗: up to four weeks
A handheld dynamometer will be used for assessing hand grip strength
kinetic motion analysis
时间窗: up to four weeks
X - Box kinetic motion sensor devcie will be used for assessing motion analysis
次要结局
- upper limb function(up to four weeks)
- Kinovea motion analysis(up to four weeks)
- handgrip strength(up to four weeks)
研究者
Mai Rabee Shehab
principle investigator : mai rabee ahmed shehab
Cairo University