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Development of Image-Based Severity Classification Technology and Customized Rehabilitation exercise training Model for Gait in People with Stroke Disabilities

Development of Image-Based Severity Classification Technology and Customized Rehabilitation exercise training Model for Gait in People with Stroke Disabilities

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
CRIS
Registry ID
KCT0007716
Enrollment
300
Registered
2022-09-19
Start date
2022-09-12
Completion date
Unknown
Last updated
2022-10-24

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

None listed

Interventions

None listed

Sponsors

Seoul National University
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: - adults over the age of 18 - If you have agreed to participate in the study - Patients who have cerebral infarction or cerebral hemorrhage who are able to exercise on their own

Exclusion criteria

Exclusion criteria: - Included with uncontrolled internal and surgical conditions (hypertension, diabetes, cardiovascular disease, etc.) - Where he/she has difficulty in breathing to the extent that he/she cannot communicate with the person next to him/her even with light movements such as walking slowly; - In the case of a psychiatric or neurological disease that is unable to walk or has a balance disorder even with the help of a walking aid and a neighbor; - Where severe aphasia is accompanied to the extent that communication is not possible; - If the subject's condition is judged to be difficult to participate in the clinical trial by other researchers,.

Design outcomes

Primary

MeasureTime frame
- Evaluation of the Usability and Effectiveness of Rehabilitation Exercise in Stroke Patients

Secondary

MeasureTime frame
- Achieve 85% or more of AI model Accuracy and conduct usability evaluation for 30 rehabilitation medical professionals

Countries

Korea, Republic of

Contacts

Public ContactShiuk Lee

Seoul National University

shiuk.lee@gmail.com+82-2-870-2671

Outcome results

None listed

Source: CRIS (via WHO ICTRP) · Data processed: Feb 4, 2026