Upper limb involvement in cerebral palsy is usually more complex than lower limb involvement. Each child has a specific brain lesion and the clinical pattern is highly variable. Current clinical methods of assessment do not fully evaluate the kinematic activity during simple activities of daily life. We defined an upper limb three-dimensional kinematic protocol in order to complete the clinical analysis of such patients and reproducibility tests are in progress. Data were presented for one of the patients studied and showed some important differences between the clinical analysis and the kinematic one. A three-dimensional upper limb motion analysis gives a more complete kinematic evaluation and should help better measure the results of treatments.
The purpose of this research is to propose a general methodology to draw gait patterns when including hip, knee and ankle angle excursions in the sagital plane and the three components of the ground reaction force. The multidimensional signal analysis procedure is divided into three main stages: 1) describing the six signals of each step through sliding averages computed for successive time windows, 2) analyzing separately the six step-by-window tables obtained for each signal through principal component analysis to reduce the excessive quantity of data, and 3) analyzing the most informative time windows of the six signals at the same time. To emphasize both linear and nonlinear relationships between the respective time windows, the signal range within a window is cut into fuzzy modalities such as, "low" "medium" and "large." The resulting table is investigated using multiple correspondence analysis. The outcomes are gait patterns combining both time and space aspects. The factor planes obtained from multiple correspondence analysis constitute initial data models so that new data obtained from pathological gait can be directly projected onto them. Such an operation can be used to show how the rehabilitation of a particular subject evolves in relation to normal gait patterns.
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