Crouch gait patterns defined using k-means cluster analysis are related to underlying clinical pathology

• Published in: Gait & posture Vol. 30; no. 2; pp. 155 - 160
• Main Authors: Rozumalski, Adam, Schwartz, Michael H.
• Format: Journal Article
• Language: English
• Published: England Elsevier B.V 01.08.2009
• Subjects: Biomechanical Phenomena; Cerebral palsy; Cerebral Palsy - physiopathology; Cerebral Palsy - rehabilitation; Child; Cluster Analysis; Contracture - physiopathology; Crouch gait; Equinus Deformity - physiopathology; Gait Disorders, Neurologic - classification; Gait Disorders, Neurologic - physiopathology; Humans; k-means Cluster analysis; Knee Joint; Models, Biological; Muscle Spasticity; Muscle Strength; Orthopedics; Posture; Principal Component Analysis; Singular value decomposition; Cerebral palsy; k-means Cluster analysis; Crouch gait; Singular value decomposition; Principal component analysis

In this study a gait classification method was developed and applied to subjects with Cerebral palsy who walk with excessive knee flexion at initial contact. Sagittal plane gait data, simplified using the gait features method, is used as input into a k-means cluster analysis to determine homogeneous...