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Название: Biomedical Signal Processing: A Modern ApproachАвтор: Ganesh R. Naik, Wellington Pinheiro dos Santos
Издательство: CRC Press
Серия: Biomedical Signal and Image Processing
Год: 2024
Страниц: 294
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB
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 discussed, involving diagnosis and therapy, in addition to other applications. Biosensors are considered a special sub classification of biomedical sensors: a biological recognition element, such as a purified enzyme, antibody, or receptor, that acts as a mediator and provides the selectivity required to sense the chemical component (usually referred to as the analyte) of interest, and a supporting structure that also acts as a transducer and is in close contact with the biological sensing sensed by the biological recognition element into a quantifiable measurement technique.
