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Development and Clinical Validation of a Software for Children's Motor Function Assessment Based on AI Motion Recognition Technology

Development and Clinical Validation of a Software for Children's Motor Function Assessment Based on AI Motion Recognition Technology

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2600128467
Enrollment
Unknown
Registered
2026-07-21
Start date
2026-08-01
Completion date
Unknown
Last updated
2026-08-03

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

Conditions

Cerebral palsy

Interventions

Clinical verification group:none
Establish a model group:none

Sponsors

Beijing Bo'ai Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
6 Years to 12 Years

Inclusion criteria

Inclusion criteria: 1. Data Modeling: We recruited 10 TD children aged 6-12 from Majiabao Primary School in Fengtai District, excluding those with any obvious diseases affecting physical ability. We also recruited 80 CP children who received treatment at PT1 of the China Rehabilitation Research Center between 2026 and 2027 and met the following inclusion criteria: (1) Diagnosed according to the 2022 version of the "Chinese Guidelines for Cerebral Palsy Rehabilitation"; (2) Gross Motor Function Classification System (GMFCS) levels I-IV; (3) Able to understand instructions and follow them well. 2. Clinical Validation: We recruited 44 children with CP who received treatment at the PT1 Department of the China Rehabilitation Research Center between 2027 and 2028 as study participants, meeting the following inclusion criteria: (1) Diagnosed according to the 2022 edition of the "China Cerebral Palsy Rehabilitation Guidelines"; (2) GMFCS levels I–IV; (3) Aged 6–12 years; (4) Able to understand instructions and have good compliance.

Exclusion criteria

Exclusion criteria: 1. Had Botox injections within the past 3 months or orthopedic surgery within the past 6 months; 2. Those with lower limb injuries, unstable fractures, knee pain, or limited mobility that prevents training; 3. Those who can't understand most of the instructions during the test and have difficulty cooperating; 4. Those with noticeable leg length differences.

Design outcomes

Primary

MeasureTime frame
The consistency differences between the AI system assessment and the human assessment of senior, middle, and junior-level physical therapists;The retest reliability of the AI system assessment;The consistency difference between AI system assessment and human assessment (the gold standard);

Countries

China

Contacts

Public ContactMa Tingting

Beijing Bo'ai Hospital

sarasidle@163.com+86 10 8702 0405

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Aug 10, 2026