Abstract

There is a lot of body models used in Biomechanical laboratory worldwide. Some of them are product of particular Research Laboratories but mostly they are bound together with various hardware/software system vendors. Especially wide spread are models for Gait analysis and among them body models for low extremities. Among existing models we can found various advantages and disadvantages. Laboratories choices depend on their major purposes for which they are ground for. Better equipped laboratories can afford use of more complex models for more reliable data. But there are also a lot of practical conditions that influence a particular model choice. Duration of acquisition sequence together with patient preparation can influence the data and also patient readiness to participate in testing. Factors that can prolong testing are number of used markers, model sensitivity on accurate marker placement, furthermore number of direct taken anthropometric variables etc. A Goal of model presented with this paper is in first order its usability for fast gait analysis and especially for sport. Testing with this model can be proceed in short pants and even wearing shoes. In this work, presented model and gait parameters calculated on it will be compared with parameters gathered from the same acquisitions using well known Helen Hayes model. HH model is chosen as one of the most acceptable and practical model today. Use of model presented with this paper asks for two acquisitions sets - static and dynamic set. Dynamic set need only 9 optical marker and static set need additional 14 marker for calculating anthropometric relations. Also there remain 5 anthropometric measures to take directly. Helen Hayes model asks for 15 optical marker for both, static and dynamic acquisition and also 19 directly taken anthropometric measures. Model is very fast for patient testing and optical data reconstruction. Patient has not impression of wearing some technical equipment on himself and also feels free for all kind of complex movement.

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