Titlebook: Medical Biometrics; Second International David Zhang,Milan Sonka Conference proceedings 2010 Springer-Verlag Berlin Heidelberg 2010 Cluster

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An Effective Feature Extraction Method Used in Breath Analysisseases the subjects infected. The accuracy of breath analysis depends greatly on what feature are extracted from the response curve of breath analysis system. In this paper, we proposed an effective feature extraction method based on curve fitting for breath analysis, where breath odor were captured

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Classification of Diabetics with Various Degrees of Autonomic Neuropathy Based on Linear and Nonlinef mean arterial blood pressure (MABP) and mean cerebral blood flow velocity (MCBFV) as a signature to classify diabetics with various degrees of autonomic neuropathy. 72 subjects were recruited. For each subject, continuous CBFV was measured using a Transcranial Doppler ultrasound, and continuous AB

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Diabetes Identification and Classification by Means of a Breath Analysis System measure the blood glucose levels of diabetics. We captured the breath samples from healthy persons and patients known to be afflicted with diabetes and conducted experiments on disease identification and simultaneous blood glucose measurement. SVM classifier was used to identify diabetes from healt

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Newborn Footprint Recognition Using Band-Limited Phase-Only Correlationh has not been well studied in the past. In this paper, we propose a novel online newborn personal authentication system for this issue based on footprint recognition. Compared with traditional offline footprinting scheme, the proposed system can capture digital footprint images with high quality. W

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Radii Solaris Extraction through Primitive Modellingaris plays an important role in automatic diagnosis through iridology. In this paper, we present a novel Radii Solaris extraction method based on primitive definition. Firstly, Radii Solaris primitives are defined and standard templates are obtained from training iris data. Secondly, Radii Solaris i

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A DIAMOND Method for Classifying Biological Datarates the objects into different cubes, where each cube is assigned to a class. Via the union of these cubes, we utilize mixed integer programs to induce classification rules with better rates of accuracy, support and compactness. Two practical data sets, one of HSV patient results and the other of

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