Multimodal fuzzy logic-based gait evaluation system for assessing children with cerebral palsy

• Published in: Scientific reports Vol. 15; no. 1; pp. 1372 - 10
• Main Authors: Massoud, Saleh, Ismaiel, Ebrahim, Massoud, Rasha, Khadour, Leila, Al-mawaldi, Moustafa
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 08.01.2025; Nature Publishing Group; Nature Portfolio
• Subjects: 639/166/985; 692/308/3187; 692/53/2421; Achilles tendon; Achilles Tendon - physiopathology; Achilles Tendon - surgery; Adolescent; Ankle; Cerebral palsy; Cerebral Palsy - physiopathology; Cerebral Palsy - surgery; Child; Children; Developmental disabilities; Female; Fuzzy Logic; Fuzzy logic system; Gait; Gait - physiology; Gait analysis; Gait Analysis - methods; Gait index; Hierarchical model fusion; Hip; Humanities and Social Sciences; Humans; Knee Joint - physiopathology; Male; Movement disorders; multidisciplinary; Science; Science (multidisciplinary); Surgery; Surgical outcomes; Temporal variations; Cerebral palsy; Hierarchical model fusion; Fuzzy logic system; Gait analysis; Gait index

Gait analysis is crucial for identifying functional deviations from the normal gait cycle and is essential for the individualized treatment of motor disorders such as cerebral palsy (CP). The primary contribution of this study is the introduction of a multimodal fuzzy logic system-based gait index (...