Effect of Artificial Intelligence Based Gamification Training on Cognition and Functional Outcomes in Patients With Stroke

NCT07209592 | Not Yet Recruiting

• 1 other identifier: P.T.REC/012/005963
• Study Type: interventional
• Target: 40
• Locations: 0 countries
• Sites: N/A

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

Conditions

Stroke

Keywords

Artificial Intelligence Based Gamification Training; Cognition; Functional Outcomes

Outcome Measures

Primary Outcomes (4)

• 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

Study Arms (2)

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

Other: AI gamification; Other: conventional therapy

conventional therapy

ACTIVE COMPARATOR

twenty patients will receive conventional therapy exercises three times per weeks for four weeks

Other: conventional therapy

Interventions

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

AI gamification

conventional therapy OTHER

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

AI gamification; conventional therapy

Eligibility Criteria

• Age: 45 Years - 60 Years
• Sex: all
• Healthy Volunteers: No
• Age Groups: Adult (18-64)

You may qualify if:

• 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

You may not qualify if:

• 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

Sponsors & Collaborators

• Cairo University: lead

MeSH Terms

Conditions

Stroke

Condition Hierarchy (Ancestors)

Cerebrovascular Disorders; Brain Diseases; Central Nervous System Diseases; Nervous System Diseases; Vascular Diseases; Cardiovascular Diseases

Central Study Contacts

Mai shehab, master

CONTACT

011 55432017; mairabee050@gmail.com

Study Design

• Study Type: interventional
• Phase: not applicable
• Allocation: RANDOMIZED
• Masking: SINGLE
• Who Masked: OUTCOMES ASSESSOR
• Masking Details: opaque sealed envelope
• Purpose: TREATMENT
• Intervention Model: PARALLEL
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: principle investigator : mai rabee ahmed shehab

Model Details: Artificial Intelligence Based Gamification Training and Exercise Program

Study Record Dates

• First Submitted: September 29, 2025
• First Posted: October 7, 2025
• Study Start: October 15, 2025
• Primary Completion (Estimated): June 30, 2026
• Study Completion (Estimated): June 30, 2026
• Last Updated: October 7, 2025

Record last verified: 2025-09