ClinicalTrials.gov
public full text
Public Domain
Improving Neck Control in Children With Cerebral Palsy Using Robotics
The goal of this study is to characterize the head-neck motion of children with cerebral palsy and investigate how robotics can be used to improve the head-neck coordination of these children. Aim 1 is a cross-sectional study. In this single-session, kinematic and muscle activity data will be collected during the postural static, active-proactive, and reactive postural head tasks. Gross Motor Functional Classification System (GMFCS) levels will also be collected to categorize the sample into subgroups. Aim 2 is a prospective cohort quasi-experimental study. The data will be collected at baseline, across 12 intervention sessions, 1 week post-intervention, and 3 months follow-up. Functional assessments will be used to compare across the pre, mid, and post training. Participants will be assessed in Gross Motor Functional Measures (GMFM), Seated Posture and Reaching Control (SP\&R-co), and Canadian Occupational and Performance Measure (COPM). The primary outcomes will be SP\&R-co test and COPM pre- and post-intervention.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Objective Kinematic Correlates of Palpatory Diagnosis#982330
- The Effects of Manual Therapy on Balance and Cervical Proprioception#917280
- Comparison Between Schroth and Klapp Method in CP Children With Scoliosis#1044317
- Posture Standards of a New Dynamic Platform#1111403
- Comparison of Deep Neck Flexor Strengthening and Motor Learning-Based Neuroplasticity Training for Forward Head Posture#847992
Record · ID 862579
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive