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Diagnosis can be a deep investigative process, complex by nature. The diagnostic processes have become much more multidisciplinary, demanding the use of an eclectic set of technological methodologies and tools, especially from the Fourth Revolution. Biosensors, Artificial Intelligence, Internet of Things and 3D Printing have become common terms in health research. Cancer in all its forms has become one of the biggest public health issues of the twentieth century. Among all types of cancer, breast cancer is the most dangerous for older and middle-aged women; it is also the most common form of...

This book presents the theoretical basis and applications of biomedical signal analysis and processing. Initially, the nature of the most common biomedical signals, such as electroencephalography, electromyography, electrocardiography and others, is described. The theoretical basis of linear signal processing is summarized, with continuous and discrete representation, linear filters and convolutions, Fourier and Wavelets transforms. Machine learning concepts are also presented, from classic methods to deep neural networks. Finally, several applications in neuroscience are presented and...

One possible solution to the increased amount of paper generated by mankind over the years is to use the computer and its associated possibility of storing digital information. This book covers the main aspects of document analysis and processing, including digitisation, storage, thresholding, filtering, segmentation and automatic recognition.