Titlebook: Biomedical Engineering Systems and Technologies; International Joint Ana Fred,Joaquim Filipe,Hugo Gamboa Conference proceedings 2010 Sprin

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Transition Detection for Brain Computer Interface Classification, and therefore EEG samples run in sequences belonging to the same class (thought). Thus, the classification problem can be reformulated into two subproblems: detecting class transitions and determining the class for sequences of samples between transitions. The method detects transitions when the L

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Alveolar-Bone

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Intersect

https://doi.org/10.1007/978-94-011-2938-1f skin lesions in chosen lighting conditions. Digital photography allows for seeing details of the skin changes under various enlargements and coloring. Computer-assisted techniques and image processing methods can be further used for image enhancement and analysis and for feature extraction and pat

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Alfred J. Field,Arthur H. Goldsmithses, which can be measured through biosignals; e.g., electromyography (EMG) and electrodermal activity (EDA). These biosignals can reveal our emotions and, as such, can serve as an advanced man-machine interface (MMI) for empathic consumer products. However, such a MMI requires the correct classific

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Labor Markets and Racial Inequalityand discrimination. Proposed biosensors are based on planar devices operating at microwave frequencies and fabricated using a standard microelectronic process. Actually, their microscopic sensitive areas allow an improved detection at the cell scale which represents a significant progress in the stu