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ObjectiveTo develop a system for predicting the progression of radiographic knee osteoarthritis (OA) using tibial trabecular bone texture.
MethodsWe studied 203 knees with (n = 68) or without (n = 135) radiographic tibiofemoral OA in 105 subjects (90 men and 15 women with a mean age of 54 years) in whom 2 sets of knee radiographs were obtained 4 years apart. We determined medial and lateral compartment...
The paper presents a concept of hand movements recognition on the basis of EMG signal analysis. Signal features are represented by coefficient of autoregressive (AR) model, and as classifier the original multiclassifier systems with dynamic ensemble selection are applied. The performance of the proposed methods was experimentally compared against three classifiers using real datasets. The systems...
This paper presents two methods for calculating competence of a classifier in the feature space. The idea of the first method is based on relating the response of the classifier with the response obtained by a random guessing. The measure of competence reflects this relation and rates the classifier with respect to the random guessing in a continuous manner. In the second method, first a probabilistic...
The paper presents a concept of bio-prosthesis control via recognition of user intent on the basis of myopotentials acquired of his body. We assume that in the control process each prosthesis operation consists of specific sequence of elementary actions. The multiclassifier systems with fusion/selection strategy based on competence function are applied to the recognition of patient's intent. Experimental...
This paper presents a method for combining classifiers in a tree structure, where each node of the tree contains single hypothesis trained in respective region of the feature space. All base classifiers are then combined using weighted average. Majority vote and Newton-Raphson numerical optimization are used for fitting the coefficients in the additive model. Two loss functions (quadratic and boosting-like...
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