This book is centered around the development and application of computationally effective solutions based on artificial neural networks (ANN) for biomedical signal analysis and data mining on medical records. The description of some ANN types is followed by the description of a new model design for pattern classification. A detailed description of the wavelets theory is included together with an example of it's practical use for feature pre-processing. In the field of Biomedical Engineering, the goal of a researcher is to provide the clinician with the best possible information needed to make an accurate diagnosis. The new learning paradigms proposed, based on semi-supervised learning are imposing themselves as an emergent powerful modeling methodology to be applied not only on unidimensional medical signals (like ECG or EEG signals) but also in image analysis and many other engineering fields.

Данное издание не является оригинальным. Книга печатается по технологии принт-он-деманд после получения заказа.