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Biomedical systems produce biosignals that arise from interaction mechanisms. In a general form, those mechanisms occur across multiple scales, both spatial and temporal, and contain linear and non-linear information. In this framework, entropy measures are good candidates in order provide useful evidence about disorder in the system, lack of information in time-series and/or irregularity of the signals. The most common movement disorder is essential tremor (ET), which occurs 20 times more than Parkinson's disease. Interestingly, about 50%-70% of the cases of ET have a genetic origin. One of the most used standard tests for clinical diagnosis of ET is Archimedes' spiral drawing. This work focuses on the selection of non-linear biomarkers from such drawings and handwriting, and it is part of a wider cross study on the diagnosis of essential tremor, where our piece of research presents the selection of entropy features for early ET diagnosis. Classic entropy features are compared with features based on permutation entropy. Automatic analysis system settled on several Machine Learning paradigms is performed, while automatic features selection is implemented by means of ANOVA (analysis of variance) test. The obtained results for early detection are promising and appear applicable to real environments. [ABSTRACT FROM AUTHOR]

In NC machining of noncircular contours with a rotation table, the cutter is fed along a straight line intersecting perpendicularly the rotation axis of the work piece. In this situation, the cutter path usually consists of a series of Archimedes’ spiral segments. This paper proposes an optimal interpolation approach of Archimedes’ spiral segments to generate the cutter path for machining noncircular contours. The number of segments for the cutter path resulted from the approach is the fewest under the condition that the interpolation accuracy completely satisfies the specified limit value. It has been also evidenced that the profile error of the machined contours corresponding to the cutter path is perfectly controlled within the specified interpolation accuracy limit. The effectiveness of the proposed approach has been sufficiently confirmed by applying it to machining a disc cam and an algebraic spiral type of scroll wrap. [ABSTRACT FROM AUTHOR]