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Erschienen in:
2015 | OriginalPaper | Buchkapitel
Integration of Characteristic Values with Symbolization in Knee Movement Analysis
verfasst von : Vladimir Ergovic, Mario Cifrek, Vladimir Medved
Erschienen in: 6th European Conference of the International Federation for Medical and Biological Engineering
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This paper proposes a method that combines two different ways of signal interpretation for gait analysis. Features points in gait cycle are extracted and then enhanced with approximation of the curve for individual gait values in different gait phases. Such an approach enables better classification of human gait that is not only based on typical values such as maximum flexion or extension of a knee, hip, etc., but it also includes shape similarity based on symbolization that is easily utilized in clustering. This study involved 20 subjects divided in 2 groups (12 healthy subjects, 8 subjects with an Anterior Cruciate Ligament - ACL deficit). Subjects with ACL problems were recorded before and after surgery. Focus is on kinematics data of the knee that were obtained using BTS Elite system with 8 cameras.