Synopsis
Unlock how detailed gait data can reveal different levels of Cerebral Palsy severity and how it might guide treatment choices.
This book presents a data-driven look at how cluster analysis and classification rules can interpret complex movement measurements collected from 62 CP patients.
Using high-speed video and a large set of gait variables, the study shows how patterns in cycle time, velocity, stride, and leg angles relate to physical strength and functional status. It explains a practical approach to reducing many measurements into meaningful profiles and how these profiles can inform surgical decisions or the use of assistive devices.
- How gait measurements are collected and reduced for analysis
- How clustering identifies subgroups that reflect different severity levels
- How a classification tree assigns new patients to identified groups
- Implications for evaluating treatments like surgery versus braces
Ideal for readers seeking a clear, applied look at gait data in rehabilitation, orthopedics, neurology, and sports medicine.
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